Abstract: A system and method for image reconstruction is disclosed. The method divides iterative image reconstruction into two stages, in the image and Radon space, respectively. In the first stage, filtered back projection and adaptive filtering in the image space are combined to generate a refined reconstructed image of a sinogram residue. This reconstructed image represents an update direction in the image space. In the second stage, the update direction is transformed to the Radon space, and a step size is determined to minimize a difference between the sinogram residue and a Radon transform of the refined reconstructed image of the sinogram residue in the Radon space. These stages are repeated iteratively until the solution converges.

Abstract: In order to start a frequency analysis process before completion of acquisition of an image so as to shorten a processing time, a first frequency analysis unit performs one-dimensional frequency analysis on each pixel line. A second frequency analysis unit collects a predetermined number of one-dimensional frequency analysis results from the first frequency analysis unit and performs further one-dimensional frequency analysis so as to obtain a final two-dimensional frequency analysis result.

Abstract: A system, medium, and method to automatically create a dynamic image object, which can create content in image unit groups of dynamic image objects. The system may include a template selection module that selects a template from an image unit group corresponding to a desired content group that includes content, a content-arrangement module that arranges the content in the selected template, and a dynamic image object supply module that supplies a dynamic image object in which the content is arranged.

Abstract: Disclosed is a scanning electron microscope (SEM) for realizing high-precision dimension measurement of a sample, such as an ArF exposure photoresist, that requires the measurement of a dimension by a low S/N signal waveform. To this end, partial waveforms (or partial images) of sample signal waveforms (or an images) acquired from a dimension measurement target sample and a sample material of the same kind are registered in advance, a measurement target signal waveform (or an image) obtained from the dimension measurement target sample and the sample registration waveform are combined, and a dimension of the dimension measurement target pattern is calculated based on the combination result.

Abstract: The invention is a method of spectral data classification that uses the decoupling of target chromaticity and lighting or illumination chromaticity in spectral data and the sorting and selection of spectral bands by values of a merit function to obtain an optimized set of combinations of spectral bands for classification of the data. The decoupling is performed in “delta-log” space. A rotation transform may be applied. For a broad range of parameters, correction of lighting chromaticity may be obtained by use of an equivalent “Planck distribution” temperature. Merit function sorting and band combination selection is performed by multiple selection criteria. The method achieves reliable pixel classification and target detection in diverse lighting or illumination, especially in circumstances where lighting is non-uniform across a scene, such as with sunlight and shadows on a partly cloudy day or in “artificial” lighting.

Abstract: An information processing apparatus includes a device for performing horizontal analysis filtering, a device for performing vertical analysis filtering, and a device for horizontal control. The information processing apparatus also includes a first control device. This device allows the device for horizontal control to repetitively perform the horizontal control until the horizontal analysis filtering is performed on all of columns of a processing object line. The information processing apparatus further includes a device for vertical control and a second control device that allows the device for vertical control to repetitively perform the vertical control until the vertical analysis filtering is performed on all of lines.

Abstract: Systems and methods that generate or provide overlap displays of multiple sets of data in a manner that advantageously simplifies trend visualization in large sets of data. A two-dimensional, three-dimensional, or greater-dimensional occurrence count array is generated for a plurality of similar data sets. Each element in the array is a number of times a corresponding vector of data values occurs in the plurality of N data sets, wherein each array element corresponds to a discrete interval of data values. Once the array has been generated, a graphical display of overlap density may be generated by comparing a desired degree of overlap with the value of each array element. Those array elements having values that satisfy the desired degree of overlap are rendered, as a display object, using one or more colors, shades and/or patterns representing varying degrees of overlap.

Abstract: A measuring method and equipment for detecting quickly and with high precision feature points (peak points or trough points) of a waveform even with waveform signals with irregular feature point values or irregular distances between feature points as in the density waveform signals or the like obtained from tree ring images or the like of wood specimens.

Abstract: An enhanced police Doppler direction sensing radar detects possibly dangerous traffic conditions during certain vehicle maneuvers such as U-turns and returns to travel after roadside stops. By monitoring a host or primary vehicle speed, speed transitions, transmission state (e.g. gear selection), and the closing vehicle position, range and speed, a number of selectable conditions are detected, resulting in an alert indication to a primary vehicle operator. User preferences and thresholds allow the traffic alert function to be customized according to a primary vehicle operator's desire to suppress alerts in situations which the user does not deem dangerous. The traffic alert function may be automatically triggered under certain detected conditions, or manually initiated when the primary vehicle operator intends to make a driving maneuver.

Abstract: According to embodiments, systems and methods for reducing noise in a signal are provided. A signal may be transformed using a continuous wavelet transform and a corresponding scalogram may be generated. Regions of noise may be identified from the resulting scalogram. These regions may be masked by, for example, removing, altering, or appropriately tagging the regions. After masking the regions of noise, the scalogram may be converted to a filtered signal using an inverse wavelet transform. Alternatively or additionally, desirable regions of non-noise may instead be identified from the resulting scalogram. These desirable regions may be extracted from the scalogram and an inverse wavelet transform performed on the extracted regions in order to generate a filtered signal.

Abstract: The present disclosure is directed towards embodiments of systems and methods for discriminating (e.g., masking out) scale bands that are determined to be not of interest from a scalogram derived from a continuous wavelet transform of a signal. Techniques for determining whether a scale band is not of interest include, for example, determining whether a scale band's amplitude is being modulated by one or more other bands in the scalogram. Another technique involves determining whether a scale band is located between two other bands and has energy less than that of its neighboring bands. Another technique involves determining whether a scale band is located at about half the scale of another, more dominant (i.e., higher energy) band.

Abstract: According to embodiments, systems, devices, and methods for ridge selection in scalograms are disclosed. Ridges or ridge components are features within a scalogram which may be computed from a signal such as a physiological (e.g., photoplethysmographic) signal. Ridges may be identified from one or more scalograms of the signal. Parameters characterizing these ridges may be determined. Based at least in part on these parameters, a ridge density distribution function is determined. A ridge is selected from analyzing this ridge density distribution function. In some embodiments, the selected ridge is used to determine a physiological parameter such as respiration rate.

Abstract: A method and system for segmentation of mitral valve inflow (MI) patterns in Doppler echocardiogram images is disclosed. Trained root detectors are used to detect left root candidates, right root candidates, and peak candidates in an input Doppler echocardiogram image. Two global structure detectors, a single triangle detector for non-overlapping E-waves and A-waves and a double triangle detector for overlapping E-waves and A-waves, are used to detect single triangle candidates and double triangle candidates based on the left root, right root, and peak candidates. A shape profile is used to determine a shape probability for each of the single triangle candidates and each of the double triangle candidates. The best single triangle candidate and the best double triangle candidate are selected based on shape probability and detection probability. One of the best single triangle candidate and the best double triangle candidate is selected as the final segmentation result based on a shape probability comparison.

Abstract: An information processing apparatus includes a first classification unit configured to set each of pixels forming a first image as a pixel of interest and classify the pixels of interest into one of a plurality of provided classes of a first type in accordance with a predetermined rule; a feature amount generation unit configured to generate a shifted waveform whose phase is shifted with respect to a waveform of the first image containing the pixels of interest and configured to generate a feature amount; a second classification unit configured to be provided with a plurality of classes of a second type in accordance with the feature amount for each of the plurality of classes of the first type and configured to classify the pixels of interest; and a prediction calculation unit configured to predictively calculate pixels forming a second image.

Abstract: Disclosed is a scanning electron microscope (SEM) for realizing high-precision dimension measurement of a sample, such as an ArF exposure photoresist, that requires the measurement of a dimension by a low S/N signal waveform. To this end, partial waveforms (or partial images) of sample signal waveforms (or an images) acquired from a dimension measurement target sample and a sample material of the same kind are registered in advance, a measurement target signal waveform (or an image) obtained from the dimension measurement target sample and the sample registration waveform are combined, and a dimension of the dimension measurement target pattern is calculated based on the combination result.

Abstract: In SEM image based pattern measurement using electron beam simulation, accuracy of simulation is very influential. For matching between a simulated image and an actual image, it is needed to properly model the shape and material of a target being measured and reflect them in simulated images. In the present invention, highly accurate pattern measurements are achieved by using simulated images with properly set parameters of shape and dimension having a large influence on the accuracy of matching for measurement between simulated and actual images, based on SEM images or information obtained by another measurement apparatus such as AFM.

Abstract: An image processing apparatus uses an estimation operator to estimate a spectroscopic property. The image processing apparatus includes an effect extent analyzing unit which analyzes, based on the estimation operator, a relative extent of an effect on the spectroscopic property against a noise in a wavelength axis.

Abstract: The object of the present invention is to provide an apparatus, a method, a program, and a self-organizing map which are capable of normalizing mobility without using a marker, as well as a substance detection method, a program, a detection rule creating method, and a data structure which use normalized mobility. The mobility normalizing method comprises the steps of determining a plurality of warping functions converting data to be corrected, which is unit time sequence data obtained by measuring mobility, to the respective plurality of reference waveform data sets, and a DTW distance associated with each warping function; evaluating a minimum value of the plurality of DTW distances, and determining the warping function associated with the determined minimum DTW distance; determining a slope and an intercept of a straight line approximating the determined warping function; and correcting the data to be corrected using a linear function specified by the slope and the intercept.

Abstract: A vehicle restraint system has a vision-based occupant classification system for control of airbag deployment during a crash scenario. The classification system utilizes two imaging sensors which together create a stream of paired images received and stored by an occupant classification controller. A computer program product of the controller utilizes the paired images to extract disparity/range features and stereo-vision differential edge density features. Moreover, the controller extracts wavelet features from one of the two paired images. All three features or maps are classified amongst preferably seven classifications by algorithms of the computer program product producing class confidence data fed to a sensor fusion engine of the controller for processing and output of an airbag control signal input into a restraint controller of the vehicle restraint system.

Abstract: The invention provides an image recognition method. First, it is judged whether a set of discrete cosine transform (DCT) coefficients corresponding to an image and/or a set of texture parameters corresponding to the DCT coefficients exist. If the judgment is no, the image is selectively performed a DCT or an inverse discrete cosine transform (IDCT) to generate the set of DCT coefficients based on a format of the image. Based on the set of DCT coefficients, the set of texture parameters is then generated. Afterward, the set of texture parameters is compared with a set of target texture parameters to generate a recognition result.

Abstract: The present invention relates to a system and method for performing rapid and programmable analysis of data. The present invention relates to a reconfigurable detector comprising at least one array of a plurality of pixels, where each of the plurality of pixels can be selected to receive and read-out an input. The pixel array is divided into at least one pixel group for conducting a common predefined analysis. Each of the pixels has a programmable circuitry programmed with a dynamically configurable user-defined function to modify the input. The present detector also comprises a summing circuit designed to sum the modified input.

Abstract: A façade rendering system is described. In various embodiments, the façade rendering system identifies horizontal waveforms and vertical waveforms from an image of a structure, combines the identified horizontal and vertical waveforms to generate façade waveforms that model a façade of the structure, and renders the façade waveforms as a façade for the structure. The façade rendering system can include or employ information about the structure from which to create waveform information, waveform information to create a façade waveform for modeling the structure, and a component that renders the structure based on the waveform information.

Abstract: Disclosed is a scanning electron microscope (SEM) for realizing high-precision dimension measurement of a sample, such as an ArF exposure photoresist, that requires the measurement of a dimension by a low S/N signal waveform. To this end, partial waveforms (or partial images) of sample signal waveforms (or an images) acquired from a dimension measurement target sample and a sample material of the same kind are registered in advance, a measurement target signal waveform (or an image) obtained from the dimension measurement target sample and the sample registration waveform are combined, and a dimension of the dimension measurement target pattern is calculated based on the combination result.

Abstract: In a face recognition apparatus adapted to recognize an input face image on the basis of one or more registered face images, similarity between an input face image and a registered face image is determined based on a Gabor jet calculated by performing Gabor filtering using Gabor filters defined by a Gaussian function representing a window and sine and cosine functions representing a frequency response for each of predetermined frequency values and for each of predetermined angles of the response function. Values of the filter window are calculated in advance based on the Gaussian function and stored in a filter window data ROM. Values of the response function are calculated in advance for respective angles based on the sine and cosine functions and stored in sine data ROMs and cosine data ROMs. In the Gabor filtering process, coefficients of the Gabor filters are determined from values read from these ROMs.

Abstract: This invention is intended to reduce a line rate of a monitoring line necessary for transmission of a picture feature without complicating a system. A video signal xi (n0, n1) of each block is subjected to spread spectrum by multiplying the video signal xi(n0, n1) by a PN sequences SPN1 (n0, n1) (in a step S1). The resultant video signal is orthogonally transformed by DFT, DCT, WHT, or the like (in a step S2). An amplitude component Ai=|Xi(SE0, SE1)| of an arbitrary component (SE0, SE1) in a coefficient Xi(S0, S1) obtained by the steps S1 and S2 is extracted (in a step S3), and the extracted amplitude component is quantized with a step size M (in a step S4). The picture feature F[i] is given as a residue obtained under a modulus Nm of a quantized typical value obtained by the quantization (in the step S4) (in a step S5).

Abstract: The present invention relates to graphic presentations of complex analytical data strings containing each a multitude of substance-representing peaks (e.g. mass spectra or chromatograms) and pattern recognition or classification techniques in collections of such data strings. The invention proposes to highlight, after execution of the pattern recognition or classification algorithms, the significantly participating peaks in the graphical display so that the nature of these peaks, and the substances represented by these peaks, can easily be further investigated. The content of the graphical display, particularly the peaks, can be interactively accessed by the user and by the pattern recognition programs.

Abstract: By a program process, CPU 31 embeds a watermark data into a waveform data stored in wave memory 41a. The program includes a step for detecting a characterizing part (attack part and loop part) of a waveform data that represents a waveform of a musical tone where the characterizing part represents characteristics of the musical tone, and a step for embedding a watermark data into a part of the waveform data excluding the detected characterizing part. Further, CPU 31 can also extract the watermark data by a program process including a step for detecting the characterizing part and a step for extracting the watermark data embedded in a part excluding the detected characterizing part. Thus, from waveform data including a watermark data, natural musical tones can be reproduced without deteriorating the characteristics of the musical tones at the time of reproduction.

Abstract: A system allows greater dynamic range in fixed-width sample representations of waveforms. Known properties of the waveform are used to determine an unlikely, or impossible, data condition to be used as an exception condition. Samples following the exception condition are assumed to be shifted by a predetermined amount so that their representation within the allowable dynamic range of the word results in an extended dynamic range. In a preferred embodiment, pre-processing of a waveform is used to create exception conditions and to shift portions of the waveform that would otherwise become clipped, so that the waveform peaks reside in a shifted position within the digital representation. Analogously, playback processing serves to detect the exception conditions and to restore the peaks of the waveform back to their original status for, e.g., audible digital-to-analog playback, high-resolution processing, etc.

Abstract: A pattern area measuring method includes the steps of: acquiring image data of a pattern; dividing the pattern into partial patterns; calculating the areas of the partial patterns; and calculating the area of the pattern by summing up the areas of the partial patterns. The step of dividing the pattern into partial patterns may further include the steps of: dividing the pattern into fan-shaped partial patterns each having a central angle of a predetermined value; calculating the line profile on a line intersecting the center of the pattern and an edge of the pattern for each of the partial patterns; creating a differential profile; and detecting an edge position of the partial pattern by use of the line profile and the differential profile and then deriving a radius from the center position and the edge position.

Abstract: Disclosed is a scanning electron microscope (SEM) for realizing high-precision dimension measurement of a sample, such as an ArF exposure photoresist, that requires the measurement of a dimension by a low S/N signal waveform. To this end, partial waveforms (or partial images) of sample signal waveforms (or an images) acquired from a dimension measurement target sample and a sample material of the same kind are registered in advance, a measurement target signal waveform (or an image) obtained from the dimension measurement target sample and the sample registration waveform are combined, and a dimension of the dimension measurement target pattern is calculated based on the combination result.

Abstract: Image alias rejection when converting a high resolution rasterized waveform to a lower resolution rasterized waveform for display uses a statistical filter. The statistical filter provides a shaped probability density function either by combining the outputs of multiple random number generators, such as linear feedback shift registers, or by using a corresponding look-up table to produce a dither signal. The statistical filter may be applied to one or both of the dimensional values for each data point of the high resolution rasterized waveform by combining the dimensional values with the dither signal. The resulting filtered dimensional values may then be subsampled, such as by truncation, to produce values for a lower resolution rasterized waveform display.

Abstract: A texture-based image database browsing and sorting method computes the number of edge pixels of objects in static images, measures textures of the static images by numerating the number of edge pixels thereof and measures a texture of a query image by numerating the number of edge pixels of an object in the query image. Then, the method sorts the measured textures according to a sorting order and searches a texture close to the texture of the query image among the sorted textures.

Abstract: Device for automatically sorting periodic data records, in particular for representing the motion of parts in the human body from individual images, an examination monitor with a storage device for the data records been assigned a measuring and evaluation device which measures in the data records two separate points or a line of the moving part and, on the basis of their changes in distance or phase shifts, sorts the data records into a cyclic sequence.

Abstract: A system and method for selecting a best match of a received input signal from a set of candidate signals, wherein two or more of the candidate signals are uncorrelated. In a preprocessing phase a unified signal transform (UST) is determined from the candidate signals. The UST converts each candidate signal to a generalized frequency domain. The UST is applied at a generalized frequency to each candidate signal to calculate corresponding generalized frequency component values (GFCVs) for each candidate signal. At runtime, the input signal of interest is received, and the UST is applied at the generalized frequency to the input signal of interest to calculate a corresponding GFCV. The best match is determined between the GFCV of the input signal of interest and the GFCVs of each of the set of candidate signals. Finally, information indicating the best match candidate signal from the set of candidate signals is output.

Abstract: A method of signal processing for use in reading data includes determining first and second waveforms, determining a cross-correlation of the first waveform with the second waveform, and determining a specific time delay corresponding to a maximum peak in the cross-correlation function. A filter is then applied based on the specific time value. The filter combines the first waveform and the second waveform so as to generate a filter output waveform including coherent information representing the data and including reduced incoherent noise.

Abstract: An imaging optical instrument causes light emitted from a plurality of light sources arranged adjacent an object to image on recording surfaces of a photosensitive or thermosensitive material. The optical instrument includes a two-sided telecentric optical system having a first lens disposed adjacent an entrance end of a lens barrel, and a second lens disposed adjacent an exit end of the lens barrel, and an aperture stop disposed adjacent a meeting point of a rearward focus of the first lens and a forward focus of the second lens. The aperture stop has an aperture formed centrally thereof for allowing passage of beams that should contribute to image formation, and a refracting portion surrounding the aperture for refracting beams that should be intercepted and causing these beams to leave the lens barrel from the exit end thereof.

Abstract: The present invention is directed to a real-time automated video cognizer that functions as a facial video processor for detecting drowsiness in operators of motorized vehicles, including the use of a video cognizer to provide pattern recognition and control signal generation during monitoring of macroscopic or microscopic biological processes. More specifically, the present invention accepts input from a video monitoring system that continuously captures the operator's facial images; employing three sequential means of processing the digitized video information to extract the position and configuration of drowsy-relevant facial features and numerically processes this information to yield a quantitative estimate of drowsiness probability in each epoch of monitoring.

Abstract: A method for determining magnitude and direction of spectral channel drift for several consecutive spectral regions over a wide spectral range. According to the method of the present invention, in-field testing of a spectral filter sequentially irradiated by two blackbody sources is performed to generate a response function of the spectral filter. The response function is ensemble averaged to reduce any noise. Background radiance is then removed to produce a smoothed spectral transmittance function of the spectral filter. The first derivative function of the smoothed spectral transmittance function is determined. The first derivative function is separated into spectral band regions having +/− N pixels on either side of the function minima. The value of N is selected to optimize the detection algorithm sensitivity to change while extending the limit of spectral shift magnitude.

Abstract: An apparatus and method of analysis for three-dimensional (3D) physical phenomena. The physical phenomena may include any varying 3D phenomena such as time varying polar ice flows. A repesentation of the 3D phenomena is passed through a Hilbert transform to convert the data into complex form. A spatial variable is separated from the complex representation by producing a time based covariance matrix. The temporal parts of the principal components are produced by applying Singular Value Decomposition (SVD). Based on the rapidity with which the eigenvalues decay, the first 3-10 complex principal components (CPC) are selected for Empirical Mode Decomposition into intrinsic modes. The intrinsic modes produced are filtered in order to reconstruct the spatial part of the CPC. Finally, a filtered time series may be reconstructed from the first 3-10 filtered complex principal components.

Abstract: A method for detecting anomalies in a digitized complex signal analyzed by a detection unit, including a machine learning and a diagnosis of the intensity and/or the rarity of an anomaly, the learning including the steps of: 1.1 selecting sequences of values of the signal; 1.2 transforming the signal to extract therefrom characteristics of a type easily extracted by a human eye; and 1.3 reducing number n of digital data by an automatic compression; the diagnosis including the steps of: 2.1 applying steps 1.1 to 1.3 to a polling window (Fk) likely to include an anomaly; 2.2 comparing the obtained vector with a reference defined according to the same transformation and compression structure.

Abstract: Although methods employing chain codes or Fourier descriptors are known for calculating an outline similarity between a model image and an object image, these methods are difficult to achieve detection of both an approximate similarity and local similarity. In view of this, according to the present invention, wavelet transformation is performed on outline points of an object image, and similarity calculation is performed on a plurality of model images with the use of a low frequency component of the transformation result. Only the model image, having a close agreement in matching processing, is subjected to similarity calculation using a high frequency component of the transformation result. By virtue of this processing, similarity calculation can be performed at high speed with high precision.

Abstract: A method and system for analyzing a substrate including the step of scanning the substrate to produce an intensity signal which represents the topography of the wafer to a first order. Other contributions to the signal intensity may be chemical composition and electrical state of the scanned features on the substrate. The scanned signal is compared and correlated to a reference signal to assess the substrate. The present invention is also directed to a method of manufacturing a wafer using the method and system and improving the manufacturing quality of product.

Abstract: A semiconductor integrated circuit of the present invention is provided with a clock control portion having a clock generation portion for generating a clock signal and an output command signal input portion for receiving a clock output command signal from the outside, and an internal circuit controlled by an output clock signal that is output from the clock control portion, and the clock control portion is configured so that it outputs the output clock signal to the internal circuit when a certain time period has passed from a time when the output command signal is received.

Abstract: The authenticity of an item which is one of a group of such items can be determined by attaching to or incorporating into each such item an authentication marker, all such markers interacting substantially identically with a given magnetic field. A field generating apparatus is provided which incorporates a reference sample that interacts with the given magnetic field in the same way as the authentication markers do. The field generating apparatus subjects both the reference sample and a candidate authentication marker to substantially identical magnetic search fields.

Abstract: The present invention may be introduced to an architecture such as a personal computer or an amusement equipment for realizing a high-speed graphic processing and provides an optimum arrangement along the flow of information in the case where a frame buffer, a command memory and an image processor are incorporated in one chip in order to improve the drawing performance of an image processing device. Thereby, unnecessary drawing-around of wiring is eliminated and it is possible to reduce the chip area. Further, since the wiring length is shortened, signal delay becomes small, thereby enabling a high-speed operation.

Abstract: Wavefront information for an optical system is calculated based on the intensity of an image of a plurality of gratings having different periods and orientations taken from at least two different planes a predetermined distance apart. The image of a plurality of gratings having different spatial frequencies or periods and orientations, the location of which are precisely known, are imaged in a nominal focal plane of the optical system, and, preferably, in two additional planes displaced a predetermined distance from the nominal focal plane. The phase shift, if any, from a fundamental frequency of the image intensity, is determined based on the known location of the grating and the grating image intensity. The grating image intensity is detected and measured in a first detection plane in a nominal focal plane and in a second detection plane a predetermined distance from the nominal focal plane. From these measurements wavefront information is calculated.

Abstract: This invention provides an input apparatus which can correctly recognize and accept hand-written characters as soon as they are input without using such an input device as an optical character reader or a keyboard. when characters, etc., are written using a writing instrument having a pen grip (22) fitted thereto, the pressure of fingers applied to the writing instrument is measured by strain gauges (28a, . . . , 28c). The strain gauges (28a, . . . , 28c) output the pressure change of the fingers as waveforms representing electrical changes to a CPU. The CPU (40) separates the waveform into unit waveforms each corresponding to one character, and analyzes wave characteristics for each unit waveform. The waveform characteristics of the written character are then compared and collated with the waveform characteristics of each character of a writer which are in advance learned and stored. Accordingly, the hand-written characters can be correctly recognized immediately after written. Since mercury switches (29a, .

Abstract: A method and system for recognizing a time varying waveform signal subject to amplitude distortions such as experienced with optical or magnetic printed character reading systems for scanning documents such as bank checks and the like. The variable amplitude waveform is sampled at predetermined time intervals representing predetermined spacings across a dimension of the character being read and difference values related to the sample amplitude ratio values between adjacent samples are calculated to develop a difference waveform or signature. This difference waveform may then be compared to a set of templates representing characters expected to be recognized. The amplitude ratio value of each sample may also be compared to that of a previous sample to determine the direction of the slope of the waveform at selected points wherein rising, falling or no change slope direction identifiers may be compared to a set of templates of characters expected to be read.

Abstract: A method of processing an image by generating transform data in response to performing at least one discrete wavelet transform based upon original image data, generating adjusted data by combining noise with the transform data, and generating compressed data representing the image by quantizing based upon the adjusted data.

Abstract: A method determining the status of a feature (e.g., a semiconductor contact hole or trench) using a measurement imaging tool such as a scanning electron microscope (SEM). The method first assures that the waveform signal obtained from the SEM is reliable. A blanked beam signal, provided in saved images from the SEM, is the basis for a signal quality factor. This signal is provided in the waveform analyzed by the system. The method then analyzes all of the data between the edges of the feature and fits various functions to the data to determine which provides the best fit. Multiple linear regression and the r2 (quality of fit) factor, or some other type of correlation coefficient, are used to determine which function has the best fit. The feature is then characterized based on the particular function chosen and on the correlation factor obtained.