Abstract: A system and method for classifying follicular units based on the number of hairs in a follicular unit of interest comprises (i) acquiring a digital image of a body surface having a follicular unit of interest; (ii) selecting a region of interest with the digital image which contains the follicular unit; (iii) segmenting the selected image to produce a binary image wherein the binary image defines a contour of the follicular unit; (iv) calculating an outline profile of the binary image which disregards concavities in the contour; and (v) determining the number of defects in the outline profile to determine the number of hairs in the follicular unit. The system and method may also adjust for hairs which converge beneath the skin and for images which appear as a single wide hair but which are actually multiple hairs.

Abstract: A system and method for counting follicular units using an automated system comprises (i) acquiring a digital image of a body surface having skin and a plurality of follicular units; (ii) selecting a region of interest with the digital image; (iii) segmenting the selected image to produce a binary image; (iv) performing a morphological open operation on the binary image; and (v) performing noise filtering by removing objects having certain characteristics which do not correspond to hair.

Abstract: An image registration method for use in medical imaging is proposed. The method includes the steps of: providing a sequence of images each one including a digital representation of a body-part under analysis, selecting a reference image within the sequence, the remaining images of the sequence defining moving images, and re-aligning at least one portion of a moving image with respect to the reference image. The step of re-aligning includes: defining a delimitation mask identifying a region on the reference image with which the at least one portion of the moving image has to be re-aligned, and a feature mask identifying a further region on the reference image within which the re-alignment is calculated, determining an optimized transformation for compensating a displacement of the moving image with respect to the reference image by optimizing a similarity measure, and transforming the at least one portion of the moving image according to the optimized transformation.

Abstract: Compositions, apparatus, systems, kits, and methods, including but not limited to, feedback and cooperative methods and systems for obfuscating target biological material identifiers in an environment.

Abstract: A system and method for processing mammographic data are described. The system includes a user input/output system adapted and configured to receive from a user a user-defined scanning protocol that identifies the laterality and view type for each mammographic film in a film case to be scanned. A storage system stores the user-defined scanning protocol for subsequent use in scanning film cases. A scanning system scans film cases and generates digitized versions of each mammographic film. A processor then assigns laterality and view types to the digitized versions of the mammographic film according to the user-defined scanning protocol. The system also receives user alterations to stored scanning protocols. The system can also re-assigns a case scanned according to one scanning protocol to another scanning protocol in response to a user's instruction to do so.

Abstract: An image enhancement system includes a data source providing image data of an object, an enhancement data storage including image enhancement information, an image enhancement unit configured to enhance the image data based on the image enhancement information, and a color display configured to display a monochrome image representing the enhanced image data on a screen thereof. The enhanced image data may include a gray level scale of at least 32 bits per pixel.

Abstract: Systems and methods associated with a constant variance filter are described. One system embodiment includes a memory to store a spatially dependent filtered data set having a first degree of homogeneity. The system embodiment may also include a filter logic to produce a data set having a second degree of homogeneity by filtering the spatially dependent filtered data set. The second degree of homogeneity may be greater than the first degree of homogeneity and may indicate spatial independence.

Abstract: A method for automatic detection of regions of suspicion within a region of interest includes acquiring image data sets. The region of interest is segmented within the image data sets. Each of the image data sets are co-registered to a common coordinate system. Each image data set is individually examined to identify the location of regions of suspicion with reference to the common coordinate system within the image data sets. Each of the image data sets are individually inspected at the locations of the identified regions of suspicion on the common coordinate system to obtain information pertaining to the regions of suspicion. It is determined, based on the obtained information pertaining to the regions of suspicion, whether the regions of suspicion are abnormalities.

Abstract: A potential region of interest segmentation device segments an image data into regions of potential interest. From the regions of potential interest, an identifying device identifies a region of interest including an object of interest based on a set of rules. A recognizing device differentiates among the identified objects of interest and selects at least one particular object of interest.

Abstract: Undesired effect reduction in a medical image. A set of medical images corresponding to a number of images each taken at a different time and from plural different projection views are obtained. The images are analyzed to determine which images in the set have effects from an undesired effect, such as patient movement or attenuation due to an organ. The undesired images are removed to form a subset which may be a subset over a specified angle range, or just certain images within the subset. The medical analysis is carried out on the subset of images.

Abstract: Methods to calibrate and display medical images with pixel values with known properties of one or more reference materials provide images which allow more accurate quantification of certain tissue properties. The images provide advantages in medical diagnosis by being standardized and independent of imaging devices or imaging techniques. The images are automatically displayed and/or filmed in optimum windows and levels. The images are calibrated with a variety of reference materials and displayed in a variety of measurement units. For example, CT images are displayed with pixel values in units of grams per cubic centimeter calibrated to a known reference which relate to but are quantitatively different from the customary Hounsfield scale based on water as the reference material. A novel more quantitative CT image display scale provides advantages in diagnosis, image recording and standardization. References with known magnetic properties imaged with MRI provide calibration and display standardization.

Abstract: A method for detecting a substantially cylindrical internal structures and dark structures surrounded by bright intensity values (contrast) in a medical image includes acquiring a medical image. A gradient of the medical image is calculated. Local shape index information for the calculated gradient of the medical image is calculated. Gradient information having a local shape index not indicative of a ridge and rut shapes is removed. Diverging gradient field responses (DGFR) are calculated based on the remaining gradient information. The DGFR responses and relative amount of DGFR responses for the rut and ridge areas is used as a discriminative feature in detecting the substantially cylindrical internal structure as well as darker occluding structures within cylindrical structures such as Pulmonary Emboli.

Abstract: A method of determining a counterfeit security document which includes a number of coded data portions indicative of an identity of the security document; and at least part of a digital signature of at least part of the identity. The method includes using a sensing device to sense at least one coded data portion and generate indicating data. The indicating data is used by a processor to obtain a determined identity and at least one determined signature part, which are then used to determine if the security document is a counterfeit document.

Abstract: A visual inspection system for ceramic balls according to one embodiment of the present invention inspects flaws in the surface of ceramic balls, and includes an oil tank holding oil, a rotation device for rotating a ceramic ball targeted for inspection that is immersed in the oil in the oil tank, so that detection of the ceramic ball is possible along a meridian, an imaging means for imaging the entire surface of the ceramic ball rotated by the rotation device, an image processing means for image processing an image imaged by the imaging means, and an assessing means for assessing the presence of flaws in the ceramic ball based on image data resulting from the image processing.

Abstract: The invention provides, in some aspects, a wafer alignment system comprising an image acquisition device, an illumination source, a rotatable wafer platform, and an image processor that includes functionality for mapping coordinates in an image of an article (such as a wafer) on the platform to a “world” frame of reference at each of a plurality of angles of rotation of the platform.

Abstract: A pattern image inspection apparatus with enhanced image correctability due to consolidation of alignment and image correction by using an image as divided by frequency regions while reducing image degradation and setup parameters is disclosed. The apparatus includes an image divider for creating for the test image and the reference image a plurality of frequency division images divided into frequency regions, a model parameter identifier for using 2D linear prediction models of the test image and the reference image to identify model parameters for each frequency division image, a model image generator for creating a model image based on the model parameters, and a comparison processor for performing inspection by comparing the model image to either the test image or the reference image with respect to each frequency division image. An image inspection method is also disclosed.

Abstract: A technique for correcting an image by using frequency division images and decomposition images corresponding in number to reference points is disclosed. An image correction apparatus includes an image divider which divides an inspection reference image into frequency regions to form frequency division images, a decomposition image generator for defining reference points at several locations within at least one frequency division image and for applying weighting with each reference point as a reference to thereby generate decomposition images corresponding in number to the reference points, a model parameter identifier for identifying a model parameter by using 2D linear prediction models of an image being tested, the decomposition images and a frequency division image which is out of the generation of decomposition images, and a model image generator for using the model parameter to generate a model image.

Abstract: Disclosed is a topographic measurement system wherein at least one satellite is used to scan the earth surface and send picture frames of a target area captured at different positions to an earth station. The picture frames are combined to produce a number of pairs of frames which constitute a stereoscopic image of the target area. Each frame pair is analyzed according to a number of visual characteristics and evaluated with a set of fitness values representative of the degrees of fitness of the frame pair to topographic measurement of the target area. A total of the fitness values is obtained from each frame pair and compared with the total values of other frame pairs. A frame pair having the highest total value is selected as a best pair. A parallax between the best pair frames is determined to produce first and second sets of line-of-sight vectors for conversion to topographic data.

Abstract: A reticle pattern defect correcting apparatus comprises a lithographic emulation system including an optical emulation system and a micromachining defect correcting system including a reticle defect correcting mechanism with a cantilever. Since correction of a reticle pattern defect is carried out while the transferred image is being observed in real time by the optical emulation system, it is possible to achieve an efficient reticle pattern correction while avoiding overcorrection and other problems.

Abstract: Digital Surface Model (DSM) texturing and modeling of various objects on the earth's surface are provided for implementation in a mapping application. One or more image capture devices having wide-angle lenses can be placed in various configurations to obtain nadir and oblique photography. Such configurations include a single lens, single sensor; single lens, multiple sensor; multiple lens, multiple sensor; and multiple lens, multiple sensor and a reflective surface. Positions, distances and areas can be measured from the imagery. Also provided is a continuous morph between aerial panorama and ground images.

Abstract: The present invention provides an image processing method which can search, at high speed, for image coordinates of a pixel corresponding to a position whose three-dimensional position is known, with respect to a line sensor image in which a surface of an object (i.e. the earth) is continuously taken by a line sensor mounted on a flight vehicle.

Abstract: Methods and systems for three-dimensional imaging include sampling one or more emissions which are reflected back from a target scene with one or more micro-channel plates. The one or more sampled emissions are processed in one or more frames. Within each frame a phase is extracted and a distance to the target scene and amplitude is determined on a pixel-by-pixel basis. A three dimensional image of the target scene is generated and provided based on the extracted phase and the determined distance and amplitude for the one or more frames.

Abstract: Provided are a method, system, and computer readable medium for training and using classification components on multiple processing units. A plurality of processing units each has a memory including one of a plurality of subsets of a set of data points. At least two of the processing units have different subsets of data points. A plurality of classification components are executed by the processing units. Classification components executing at the processing units are trained, wherein each classification component is trained with the subset of data points in the memory of the processing unit that is executing the classification component. One of the classification components is transferred to an additional processing unit of the processing units to train the transferred classification component using the subset of data points in the memory at the additional processing unit in response to training the classification component with the subset of data points.

Abstract: A method to detect anchorperson segment in news reporting by using visual characteristics to provide the basis to divide news into various categories includes steps of providing news image for skin color detection on the image with color space; applying morphology depending on whether the object in the image subject to skin color detection is moving to eliminate noise surrounding the image of the face to solve the region of the face of the anchorperson; and performing anchorperson detection once again by detecting the probable anchorperson segment.

Abstract: An image processing apparatus includes: an image decomposition unit that decomposes an input image into component images constituting the input image; a confidentiality setting unit that sets a confidentiality being a degree of security of each of the component images into which the input image is decomposed by the image decomposition unit; and a storage unit that stores each of the component images by associating the confidentiality therewith, the confidentiality being set by the confidentiality setting unit.

Abstract: A mobile device and associated method for transmitting a plurality of characters to a remote device without requiring keypad input or character recognition. The device is operable to receive characters entered by the user via handwritten input and transmit the characters without requiring character recognition. User input is received to a screen of the wireless handheld device, wherein the user input comprises handwritten text having a plurality of characters, e.g., in a non-Latin character set. Data corresponding to an image of the handwritten text may be compressed, packaged, and transmitted to a remote device in a wireless fashion. The compressed data is useable to create the image of the handwritten text on the remote device. The method preferably does not perform any character recognition on the handwritten text.

Abstract: A method is disclosed for using software, to generate a representation of a visual test challenge, the answer to which may be used to distinguish between responses returned by a human, and responses returned by a computer-automated system, that substantially and reliably improves upon ordinary methods of such distinction.

Abstract: An image processing apparatus includes a command-data storage unit, a handwritten-data recognizing unit, and a matching unit. The command-data storage unit stores therein a command-data table that contains a command character and content of a command corresponding to the command character in an associated manner. The handwritten-data recognizing unit performs character recognition and image analysis on image data to extract handwritten information including a command graphic representing a command with respect to the image data and a command character handwritten near the command graphic. The matching unit matches the command character extracted by the handwritten-data recognizing unit with the command character in the command-data table.

Abstract: An algorithm is quickly scans a digital image volume to detect density nodules. A first stage is based on a transform to quickly highlight regions requiring further processing. The first stage operates with somewhat lower sensitivity than is possible with more detailed analyses, but operates to highlight regions for further analysis and processing. The transform dynamically adapts to various nodule sizes through the use of radial zones. A second stage uses a detailed gradient distribution analysis that only operates on voxels that pass a threshold of the first stage.

Abstract: A method of difference sensing. A first step involves producing a reference image using temporal averaging and spatial averaging. A second step involves producing a test image. A third step involves computationally comparing the reference image with the test image to arrive at a resulting difference image. The temporal averaging and spatial averaging effectively isolates in the difference image coherent changes imbeded in a complex and rapidly changing environment from transient changes inherent to the complex and rapidly changing environment.

Abstract: A face detection device for detecting the face of a person in an input image may include the following elements: a face detection circuit including a hardware circuit configured to detect a face in an input image; a signal processing circuit configured to perform signal processing based on an input image signal in accordance with a rewritable program including a face detection program for detecting a face in an input image; and a controller configured to allow the face detection circuit and the signal processing circuit to perform face detection in a parallel manner on an image of a frame or on respective images of adjacent frames among consecutive frames, and to output a final face detection result on the basis of face detection results obtained by the face detection circuit and the signal processing circuit.

Abstract: A method and apparatus for data filling is disclosed herein. In one embodiment, the method comprises receiving an image and a mask associated with the image and performing a block-based, iterative multi-pass data filling process to fill a layer as part of compound document compression.

Abstract: A system and method are disclosed which include providing a first layer of an image, the first layer including features of the image having locations within the first layer; and providing a second layer of the image, the second layer including data blocks corresponding to respective ones of the features; each data block being in a location in the second layer substantially corresponding to a location in the first layer of the feature corresponding to each data block, wherein a size and shape of the second layer substantially correspond to a size and shape of said first layer.

Abstract: Prediction-based compression engines are spoon-fed with sequentially efficiently compressible (SEC) streams of input data that make it possible for the compression engines to more efficiently compress or otherwise compact the incoming data than would be possible with streams of input data accepted on a TV-raster scan basis. Various techniques are disclosed for intentionally forming SEC input data streams. Among these are the tight packing of alike files or fragments into concatenation suitcases and the decomposition of files into substantially predictably consistent (SPC) fragments or segments that are routed to different suitcases according to their type. In a graphics-directed embodiment, image frames are partitioned into segment areas that are internally SPC and multidirectional walks (i.e., U-turning walks) are defined in the segment areas where these defined walks are traced during compression and also during decompression.

Abstract: Prediction-based compression engines are spoon-fed with sequentially efficiently compressible (SEC) streams of input data that make it possible for the compression engines to more efficiently compress or otherwise compact the incoming data than would be possible with streams of input data accepted on a TV-raster scan basis. Various techniques are disclosed for intentionally forming SEC input data streams. Among these are the tight packing of alike files or fragments into concatenation suitcases and the decomposition of files into substantially predictably consistent (SPC) fragments or segments that are routed to different suitcases according to their type. In a graphics-directed embodiment, image frames are partitioned into segment areas that are internally SPC and multidirectional walks (i.e., U-turning walks) are defined in the segment areas where these defined walks are traced during compression and also during decompression.

Abstract: Prediction-based compression engines are spoon-fed with sequentially efficiently compressible (SEC) streams of input data that make it possible for the compression engines to more efficiently compress or otherwise compact the incoming data than would be possible with streams of input data accepted on a TV-raster scan basis. Various techniques are disclosed for intentionally forming SEC input data streams. Among these are the tight packing of alike files or fragments into concatenation suitcases and the decomposition of files into substantially predictably consistent (SPC) fragments or segments that are routed to different suitcases according to their type. In a graphics-directed embodiment, image frames are partitioned into segment areas that are internally SPC and multidirectional walks (i.e., U-turning walks) are defined in the segment areas where these defined walks are traced during compression and also during decompression.

Abstract: An image processing system includes an identification unit, a region division unit and a pixel value change unit. The identification unit identifies a second pixel among an image including a first pixel and the second pixel. A pixel value of the first pixel is not to be changed. A pixel value of the second pixel is to be changed. The region division unit divides the image into regions. The pixel value change unit changes the value of the second pixel to a predetermined value through a filtering process when the second pixel identified by the identification unit is included within the regions obtained by the region division unit.

Abstract: Prediction-based compression engines are spoon-fed with sequentially efficiently compressible (SEC) streams of input data that make it possible for the compression engines to more efficiently compress or otherwise compact the incoming data than would be possible with streams of input data accepted on a TV-raster scan basis. Various techniques are disclosed for intentionally forming SEC input data streams. Among these are the tight packing of alike files or fragments into concatenation suitcases and the decomposition of files into substantially predictably consistent (SPC) fragments or segments that are routed to different suitcases according to their type. In a graphics-directed embodiment, image frames are partitioned into segment areas that are internally SPC and multidirectional walks (i.e., U-turning walks) are defined in the segment areas where these defined walks are traced during compression and also during decompression.

Abstract: Areas, allowed to overlap, are set for respective pixels in an image, and a maximum density value and a minimum density value, among inherent density values of the pixels in each area, are extracted and specified as maximum and minimum density values common to the pixels in the area. Among the density values specified from the overlapping areas, the largest minimum density value is set as a local minimum value and the smallest maximum density value is set as a local maximum value to thereby generate a minimum density plane and a maximum density plane including the pixels having the values. The density values of the pixels at the corresponding positions in the minimum density plane and the maximum density plane are corresponded to the common minimum and maximum values set separately, to thereby linearly convert the whole. Thereby, the pixel density values of the original image are linearly converted simultaneously.

Abstract: An image processing apparatus generates a brightness component image of a low-sensitivity image by applying a smoothing filter to the low-sensitivity image, generates a brightness component image of a high-sensitivity image by applying the smoothing filter to the high-sensitivity image, generates a contrast component image of the low-sensitivity image by dividing the low-sensitivity image by the brightness component image of the low-sensitivity image, generating a contrast component image of the high-sensitivity image by dividing the high-sensitivity image by the brightness component image of the high-sensitivity image, generates a combined brightness component image by combining the brightness component images of the low-sensitivity image and of the high-sensitivity image, generates a combined contrast component image by combining the contrast component images of the low-sensitivity image and of the high-sensitivity image, and finally generates a contrast-expanded image by multiplying the combined brightness

Abstract: A first edge width correction process (2) is carried out in which edge widths are corrected by an interpolation process using zoom ratio control values (RZC) generated according to the edge widths in image data; an enlargement processing process (3) that enlarges the image data with edge widths corrected by the first edge width correction process (2) is carried out; a second edge width correction process (4) similar to the first edge width correction process is carried out on the enlarged image data; and an edge enhancement process that enhances edges in the image data with edge widths corrected by the second edge width correction process is carried out. An image processing apparatus is obtained that mitigates the loss of sharpness in an enlarged image and accordingly makes it possible to provide better picture quality.

Abstract: A de-blocking method smoothes pixels along a row or column that crosses a block boundary. Smoothing is performed to remove quantization or compression artifacts that appear on block edges when pixels in adjacent blocks are separately compressed. A maximum-allowed edge-pixel difference is generated from the quantization parameter QP. For each edge-crossing row or column, an edge difference is generated as half the difference between adjacent edge pixels in two blocks. This edge difference is compared to the maximum-allowed edge-pixel difference. When the edge difference is larger than the maximum-allowed edge-pixel difference, then the difference is limited to the maximum-allowed edge-pixel difference, since the pixel difference may be a real edge in the image. The limited or edge difference is then added or subtracted in decreasing amounts for several pixels in the row or column near the edge, smoothing the edge difference across several pixels, such as seven pixels.

Abstract: An image reproducing device includes: an image signal inputting part for receiving input of a first image signal; a sub image signal generating part for generating a sub image signal from information on a sub image extracted from said first image signal; a main image signal decoding part for extracting a main image signal from said first image signal and decoding said main image signal; a brightness detecting part for detecting a brightness of said main image signal and calculating a brightness average value; a brightness adjusting part for adjusting a brightness of said sub image signal based on said brightness average value; an image signal composing part for composing said main image signal and said sub image signal, the brightness of which is adjusted, and generating a second image signal; and an image signal outputting part for outputting said second image signal.

Abstract: An information processing apparatus of the present invention includes a shot image obtaining portion, an image processing portion, a data conversion portion and a control portion. The shot image obtaining portion includes an imaging element and obtains a shot image in a time-series from the imaging element. The image processing portion performs image processing on the shot image and analyzes movement of the shot image resulting from movement of the information processing apparatus. The data conversion portion converts the analyzed movement of the shot image into control data, and the control portion controls functions based on the control data.

Abstract: In some embodiments, a method for performing and a system configured to perform a 2D transform (for example, an inverse discrete cosine transform) on each block of a sequence of data blocks, where the 2D transform includes a row transform and a column transform. To perform the row or column transform on a row or column of data, these embodiments determine whether each of different subsets of the data values comprising a partition of the row (column) includes at least one zero value, whether each of different subsets of a first subset of the partition includes at least one zero value, and whether each of different subsets of at least one other subset of the partition includes at least one zero value.

Abstract: An image processing apparatus is provided with an original data management portion that stores original image data for reproducing an original image, a mask extraction portion that acquires a mask image executed in the original image written on paper, and a printing unit that prints an image obtained by overlaying the original image and the mask image extracted by the extraction portion. The original image is reproduced based on the original image data, which is called from the original data management portion based on an identifier for identifying the original image written on that paper. Thus, it is possible to copy an original without causing image quality to deteriorate, and with information concealed.

Abstract: Images are constructed by compositing a plurality of sequential images. The sequential images are obtained by moving the image capture device and storing the positional attribute data (focal attributes) in association with each captured image. For example, wide-angle views, 3D views and/or video views of a subject can be constructed by compositing a plurality of sequential images.

Abstract: An evaluation value setting means sets evaluation values for one or more evaluation items that represent evaluations of images for each image. An image grouping means groups the images into a plurality of groups, based on the evaluation value of an evaluation item. A template selecting means selects one or more templates, into which images included in each group are to be inserted, based on the evaluation item set for the images included in each group. A laid out image generating means generates a plurality of laid out images, in which the images included in each group are arranged within image regions of the templates selected for each group, based on attribute data of the image regions and the evaluation values for the evaluation items of the images included in the groups. An electronic album generating means generates an electronic album, which is a combination of the laid out images.

Abstract: A method of forming images on a lithographic substrate is disclosed, the method including grouping a plurality of image regions together to form a combined image, determining or receiving a location at which the combined image is to be positioned on the substrate, calculating locations at which the image regions forming the combined image are to be positioned on the substrate, and using a lithographic apparatus to project the image regions at the calculated locations onto the substrate.

Abstract: Objects are detected in an image using a spatially variant filter. The size of the filter is adjusted based on the portion of the image being processed by the filter. Portions of the image which are closer to an imaging device which captured the image are processed using a larger size filter. Portions of the image which are farther from the imaging device are processed using a smaller size filter.