Abstract: A method for reading an emulsion (3) including droplets and a continuous phase surrounding the droplets, the method includes: two-dimensional scanning of the emulsion (3), and construction of a two-dimensional image of the emulsion (3) based on the scanning. Preferably, the droplets do not move during scanning, for example by solidifying the continuous phase or by using a two-dimensional compact or semi-compact network of droplets. The method can further include time-based monitoring of a chemical or biological reaction taking place in at least one of the droplets. A device implementing this method is also described. The method is applicable for the detection and/or sorting of microdroplets performing the role of microreactors or containing specific cells or molecules, in fields such as gene expression or diagnosis.

Abstract: A method of stitching an image to combine at least a first image and a second image in a digital image processing apparatus includes obtaining matching areas of the first image and the second image where the second image overlaps the first image, and changing gradations of an entire area of the second image to make a representative gradation of the matching area of the first image the same as a representative gradation of the matching area of the second image, wherein a change rate in changing at least one of the gradations of the entire area of the second image is set according to a level of a gradation of the second image before the changing the gradations of the entire area of the second image.

Abstract: The present invention provides a quantitative, automated system and method for assessing the correlation level of two rendered images, thereby removing subjectivity from such evaluation. The objective metric of the present invention determines whether two static images are correlated enough to be undetectable by a human observer. The performance of this method is optimized based upon the capabilities and limitations of the human visual system. Therefore, the resulting assessments are not overly sensitive and reduce the resources required to assess rendered images within a networked simulation environment. Additionally, the simplicity of the method lends itself to implementation within existing and emerging simulation systems with relatively little effort compared to current assessment methods. The system and method of the present invention provide benefits to multiple organizations, such as those engaged in human-in-the-loop simulators, distributed learning, and training applications.

Abstract: A nuclear imaging system includes a crystal identification system which receives a flood image which includes a plurality of peaks, each peak responsive to radiation detected by a corresponding scintillator crystal. A crystal identification processor partitions the flood image into a plurality of candidate regions with a watershed segmentator implementing a watershed algorithm. The candidate regions are linked in an adjacency graph, and then classified as background or relevant, where relevant regions contain a peak within the watershed lines. The regions are then assigned to a crystal according to an objective function and an assignability score. A calibration processor maps the peaks to a rectangular grid.

Abstract: An information processing apparatus and an information processing method including a deformation shape model generation unit configured to generate, from information about a first shape and a first position of a feature region in a target object under a first deformation condition, a deformation of the first shape with the position of the feature region as a reference as a model, and a deformation estimation unit configured to, based on information about a second shape and a second position corresponding to the feature region in the target object under the second deformation condition, align the first position with the second position to estimate deformation from the first shape to the second shape using the model.

Abstract: Embodiments of the present invention provide for improved timing control in 2-D image processing to maintain a constant rate of memory fetches and pixel outputs even when the processing operations transition to a new line or frame of pixels. A one-to-one relationship between incoming pixel rate and outgoing pixel rate is maintained without additional clock cycles or memory bandwidth as an improved timing control according to the present invention takes advantage of idle memory bandwidth by pre-fetching a new column of pixel data in a first pixel block of a next line or frame while a new column of an edge pixel block on a current line is duplicated or zeroed out. As the edge pixel block(s) on the current line are processed, the data in the first pixel block of the next line or frame become ready for computation without extra clock cycles or extra memory bandwidth.

Abstract: A method for visual recognition of an object in an electronic image includes extracting unique points of an object to be learned and/or a target object. The unique points are obtained by cross-correlating the image with a structure. Generally, the structure and/or the size of the structure may vary to detect extremum information associated with the learned object and/or target object. An icon corresponding to each of the unique points is extracted. The size of the icon corresponds to the scale of the unique point. After extraction of the various icons, an object becomes a collection of icons. Each of these icons is un-rotated and normalized or resized to a constant size so it can be compared with other icons.

Abstract: Systems and methods for aligning ground based images of a geographic area taken from a perspective at or near ground level and a set of aerial images taken from, for instance, an oblique perspective, are provided. More specifically, candidate aerial imagery can be identified for alignment with the ground based image. Geometric data associated with the ground based image can be obtained and used to warp the ground based image to a perspective associated with the candidate aerial imagery. One or more feature matches between the warped image and the candidate aerial imagery can then be identified using a feature matching technique. The matched features can be used to align the ground based image with the candidate aerial imagery.

Abstract: A method for segmenting an object of interest (which may be a liver object) in an input image is disclosed. The method comprises the steps of: (a) segmenting the points in a region of interest in the input image into a first and second group of points using predetermined intensity threshold values; (b) identifying a first set of small connected components formed by points in the first group of points and transferring the points in the first set of small connected components to the second group of points; (c) identifying a second set of small connected components formed by points in the second group of points and transferring the points in the second set of small connected components to the first group of points; and (d) forming the segmented object of interest using the first group of points.

Abstract: One or more techniques and/or systems are described for automatically generating a transformation matrix for correlating images from an ultrasound modality with images from another modality (or with ultrasound images acquired at a different point in time). Ultrasound volumetric data and volumetric data yielded from another image modality are examined to identify and/or extract features. The transformation matrix is automatically generated, or populated, based at least in part upon common features that are identified in both the ultrasound volumetric data and the volumetric data yielded from the other image modality. The transformation matrix can then be used to correlate images from the different modalities (e.g., to display a CT image of an object next to an ultrasound image of the object, where the images are substantially similar to one another even though they were acquired using different modalities).

Abstract: A system for generating an output image based on an original image via an imaging application can comprise a parsing module, an optical flow displacement module, and a new pixel generation module. The parsing module can establish a magnified resolution lattice from an original resolution lattice of the original image. The optical flow displacement module can establish optical displacement vectors extending, within the magnified resolution lattice, between original pixels and optical displacement locations, the optical displacement vectors based on one-dimensional optical flow brightness constraint calculations for the original pixels. The new pixel generation module can generate new pixels in the magnified resolution lattice via one or more interpolations based on the optical displacement vectors. Other embodiments and related methods are also disclosed herein.

Abstract: The present invention provides a geographical data collecting device, which comprises a distance measuring unit 5 for projecting a distance measuring light and for measuring a distance to an object to be measured, an image pickup unit 3 for taking an image in a measuring direction, a display unit 6 for displaying an image picked up, a touch panel installed to match a position of screen of the display unit, a tilt sensor 11 for detecting a tilting, an azimuth sensor 12 for detecting a horizontal angle in the measuring direction, and a control arithmetic unit 8, wherein the image pickup unit takes an image of a measurement range, acquires a reference image, is directed to a selected measuring point in the reference image, and acquires a measured image with the measuring point as a center, and wherein said control arithmetic unit calculates the measuring point in the reference image through an image matching of the reference image and the measured image and displays a measuring point on at least one of the refer

Abstract: A method for providing an output image, the method includes: determining an importance value for each input pixels out of multiple input pixels of an input image; applying on each of the multiple input pixels a conversion process that is responsive to the importance value of the input pixel to provide multiple output pixels that form the output image; wherein the input image differs from the output image.

Abstract: Disclosed is a picture quality evaluation method with which the amount of pixel change in a pixel set of a specified size is calculated between specified frames of a first image, and weighting processing based on the amount of pixel change is applied to a first picture quality value calculated based on specified data from the first image between at least the aforementioned specified frames to calculate a second picture quality value for the first image.

Abstract: A system and method is disclosed for tracking a moving object using magnetic resonance imaging. The technique includes acquiring a scout image scan having a number of image frames and extracting non-linear motion parameters from the number of image frames of the scout image scan. The technique includes prospectively shifting slice location using the non-linear motion parameters between slice locations while acquiring a series of MR images. The system and method are particularly useful in tracking coronary artery movement during the cardiac cycle to acquire the non-linear components of coronary artery movement during a diastolic portion of the R-R interval.

Abstract: Statistical analysis techniques based on auto- and cross-correlations/cumulants, of image stacks of fluctuating objects are used to improve resolution beyond the classical diffraction limit and to reduce the background. The time trajectory of every pixel in the image frame is correlated with itself and/or with the time trajectory of an adjacent pixel. The amplitude of these auto- or cross-correlations/cumulants of each pixel, at a given time lag or averaged or integrated over an interval of time lags, is used as the intensity value of that pixel in the generated superresolved optical fluctuation image.

Abstract: According to one embodiment, an image processing apparatus includes first and second computation portions, a selection portion, a projection portion, and a weighted averaging portion. The first computation portion is configured to obtain magnitudes of correlations between a first vector and plural basis vectors. The selection portion is configured to select basis vectors from the plural basis vectors. The projection portion is configured to select a second region, obtain a first projection vector by projecting the first vector onto a subspace formed by the selected basis vectors and obtain a second projection vector for each second region by projecting a second vector onto the subspace. The second computation portion is configured to compute a distance between the first and second projection vectors. The weighted averaging portion is configured to weighted average a pixel value of the second pixel to obtain an output pixel value of a first pixel.

Abstract: An image processing apparatus includes a filter unit which filters image signals; a sampling unit which generates first digital image signals having a first resolution by sampling the filtered image signals at a predetermined sampling frequency; and a super-resolution unit which reconstructs a second digital image signal having a second resolution which is higher than the first resolution by performing super-resolution on the first digital image signals generated by the sampling unit, wherein the filter unit passes frequency components corresponding to or lower than the Nyquist frequency which is half the sampling frequency, and passes a part of frequency components within a range from the Nyquist frequency to the highest frequency which can be represented by the second resolution.

Abstract: Methods and systems for creating an image filter is described. In one embodiment, a method includes receiving a first plurality of images captured by an at least one camera with a same setting as a first camera. The method further includes creating an averaged image from the plurality of captured images, wherein the averaged image comprises a measurement value of intensity for each pixel in the averaged image. The method also includes determining an image imperfection in the averaged image. The method further includes creating the image filter to reduce the image imperfection.

Abstract: According to one embodiment, the image processing apparatus includes a printing control unit, an image reading unit, an extracting unit, a difference image extracting unit, and a determination unit. The printing control unit controls printing of a plurality of pages on one sheet of paper according to a print setting information which indicates a printing form, and printing of a code indicating the print setting information on the paper. The image reading unit read the paper. The extracting unit extracts the code from the read image. The difference image extracting unit extracts a difference image between the printed image and the read image.

Abstract: First image data captured by a first image pickup apparatus and second image data captured by a second image pickup apparatus are stored in storing means. Thus, it is possible to correlate images with each other by using identification information of a user or the image pickup apparatus and identification information of an image capturing time, an image capturing position, or an image pickup target (event). Further, the correlated image data is edited on the basis of editing structure data, thereby generating album image data.

Abstract: A method for modeling an object, particularly suited to complex objects such as anatomical objects, and manipulating the modeled object in a CAD environment includes obtaining volumetric scan data of a region and segmenting the scan data to identify a first object to produce a first set of signed distance values on a grid. Wavelet analysis of the first set of signed distance values provides a function-based representation of the object. A signed distance value model of a second object is obtained, and one or both sets of signed distance values are manipulated to perform a CAD operation.

Abstract: Disclosed is a distortion invariant system, method and computer readable medium for detecting the presence of one or more predefined targets in an input image. The input image and a synthetic discriminant function (SDF) reference image are correlated in a shift phase-encoded fringe-adjusted joint transform correlation (SPFJTC) correlator yielding a correlation output. A peak-to-clutter ratio (PCR) is determined for the correlation output and compared to a threshold value. A predefined target is present in the input image when the PCR is greater than or equal to the threshold value.

Abstract: An image quality adjustment capability measurement method includes the steps of: using an instructor image serving as a target for the image qualities of an evaluation image and a correlation function between image quality characteristic differences and image quality adjustment capability values, the instructor image and the correlation function being obtained in advance; inputting a corrected image obtained after the image qualities of the evaluation image is adjusted; calculating the image quality characteristic difference between the input corrected image and the instructor image; and calculating the image quality adjustment capability value from the correlation function between the image quality characteristic differences and the image quality adjustment capability values, which is obtained in advance, and the calculated image quality characteristic difference.

Abstract: A method and system for mapping colors of an image. The method including the steps of: segmenting an image into a plurality of regions, so that pixels in each of the plurality of regions have a characteristic that meets a predetermined similarity; determining an initial contrast between adjacent regions in the plurality of regions; and transforming an initial color of each of the plurality of regions into a target color; where a target contrast between the adjacent regions in the plurality of regions is equal to or greater than the initial contrast or a difference between the target contrast and corresponding initial contrast is less than a predetermined threshold; and where at least one of the steps is carried out by a computer device.

Abstract: To compute a signature for an object comprising or represented by a set of vectors in a vector space of dimensionality D, statistics are computed that are indicative of distribution of the vectors of the set of vectors amongst a set of regions Ri, i=1, . . . , N of the vector space, at least some statistics associated with each region are binarized to generate sets of binary values ai, i=1, . . . , N indicative of statistics of the vectors of the set of vectors belonging to the respective regions Ri, i=1, . . . , N; and a vector set signature is defined for the set of vectors including the sets of binary values ai, i=1, . . . , N. The computing, binarizing, and defining operations may be repeated for two sets of vectors, and a quantitative comparison of the two sets of vectors determined based on the corresponding vector set signatures.

Abstract: Provided are a method and apparatus for combining and composing a plurality of images into one image. An image processing unit calculates importance levels of the plurality of input images, respectively, according to selection criteria, selects at least two important images from among the plurality of input images according to the calculated importance levels, determines Regions Of Interest (ROIs) of the important images, selects the ROIs in one canvas, arranges corresponding important images at positions corresponding to the selected ROIs, and composes the arranged important images into one image.

Abstract: A system for generating disparity results comprises an interface, a first memory, a second memory, and a processor. The interface is for receiving a first element of a first set of image data and a first element of a second set of image data. The first memory is for storing the first element of the first set of image data. The second memory is for storing the first element of the second set of image data. The processor is for generating a disparity result for a first element before all elements of the first data set and the second data set have been received. The disparity result is generated using a low latency image processing system that processes a plurality of elements of the first set of image data and a plurality of elements of the second set of image data.

Abstract: An embodiment provides for enabling retrieval of a collection of captured images that form at least a portion of a library of images. For each image in the collection, a captured image may be analyzed to recognize information from image data contained in the captured image, and an index may be generated, where the index data is based on the recognized information. Using the index, functionality such as search and retrieval is enabled. Various recognition techniques, including those that use the face, clothing, apparel, and combinations of characteristics may be utilized. Recognition may be performed on, among other things, persons and text carried on objects.

Abstract: A target digital image is received from an image sensor. The image is contaminated by noise of unknown magnitude that is represented by a reference digital image. A process is applied that uses statistical analysis of the target digital image and of the reference digital image to estimate a magnitude of the noise for at least some pixels of the target digital image.

Abstract: A computer-implemented method for determining correspondence between images includes: receiving images in a computer system; performing iterations using the computer system to find respective mappings for each patch of pixels in the images to a patch in another one of the images such that the mappings have minimal patch distance, the iterations including at least: (i) evaluation of a nearby-pixel mapping in a current image, (ii) evaluation of a randomly selected mapping in the current image, and (iii) evaluation of a randomly selected mapping in another one of the images; and generating a mapping record that results from the iterations.

Abstract: Statistical analysis techniques based on auto- and cross-correlations/cumulants, of image stacks of fluctuating objects are used to improve resolution beyond the classical diffraction limit and to reduce the background. The time trajectory of every pixel in the image frame is correlated with itself and/or with the time trajectory of an adjacent pixel. The amplitude of these auto- or cross-correlations/cumulants of each pixel, at a given time lag or averaged or integrated over an interval of time lags, is used as the intensity value of that pixel in the generated superresolved optical fluctuation image.

Abstract: Systems and methods for filling panoramic images having valid and invalid pixel regions are provided. An invalid region is identified in an initial panoramic image. Pixel data of invalid pixels in the initial panoramic image are replaced with pixel data of pixels from a valid region in at least one nearby panoramic image to obtain a valid fill region.

Abstract: A correlation image detection method is provided that co-registers sonar images by finding peaks in correlation images. To obtain the peaks, the mean of the absolute values of the correlation coefficients in the correlation image is found and the Rayleigh parameter is determined from the mean. Based on the Rayleigh parameter, an appropriate threshold can be determined using a desired probability of false detection. The threshold can be chosen such that the probability of a single false detection over the expected life of the mission for which correlation detection is being performed is extremely low. The peak value in the image is determined and a correlation is considered detected when the peak value is greater than the product of the threshold and the Rayleigh parameter. If a detection occurs, the correlation image detector returns the transformation that co-registers the two images.

Abstract: A novel phase-coded aperture, associated imaging system, and design method is disclosed. The optical imaging system includes a coded-aperture followed optically by a detector array and includes an image processor. A diffraction pattern in the form of a band-limited uniformly redundant array is formed on the detector array when focusable radiation from a point source in object space is modulation by the transmission function of the coded-aperture. Since diffraction effects cannot be ignored in the optical regime, an iterative phase retrieval method is used to calculate the phase-coded aperture transmission function. Correlation type processing can be applied for the image recovery.

Abstract: The present invention includes methods, circuits, devices, apparatuses and systems for analyzing, characterizing and/or rating the composition of images. Further embodiments of the present invention include methods, circuits, devices, apparatuses and systems for providing instructive feedback or automatic corrective actions, relating to the quality of the composition of an image, to a user of an imaging device (e.g. digital camera, camera phone, etc.)—Optionally while the user is preparing to acquire an image, i.e. in real time. Embodiments of the present invention may further include methods, circuits, devices, apparatuses and systems for extracting image composition related rules based on analysis of composition parameters of rated images.

Abstract: In stereo matching based on standard area matching, in order to suppress a decrease in matching accuracy, it is effective to adaptively change a matching area in accordance with the local properties of an image. However, this requires high calculation costs.

Abstract: A device to analyze and determine the movement characteristics of products moving in a determinate direction of feed (F) and emitting radiations, in particular products exiting from a casting line, comprises a camera to continuously acquire images of the product moving in the direction of feed (F) in at least two successive instants of time, and an electronic processing unit by means of which the comparison between at least two successive images acquired is carried out, using mathematical algorithms based on the image correlation principle, in order to determine the spatial displacement of the images and then the movement characteristics of the product moving in the direction of feed (F) are analyzed and determined.

Abstract: An image processing apparatus includes a parameter setting unit which sets a noise reduction processing parameter for use in noise reduction processing for applying onto an original image signal including a plurality of color components; a correlation arithmetic processing unit which calculates coefficients of correlation between each of the color components in the original image signal; a parameter correcting unit which corrects the noise reduction processing parameter based on the coefficient of correlation; and a noise reducing unit which reduces noise in the original image signal using the corrected noise reduction processing parameter.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for document authentication. An electronic document is presented to a user. The electronic document has data representing a signed state and a current state. A disallowed difference between the signed state and the current state is detected, based on one or more rules that are associated with the electronic document. A digital signature associated with the electronic document is invalidated in response to the detecting.

Abstract: An image retrieval system includes an image entry unit configured to input an image. A descriptor determining unit receives the image and transforms the image into an intermediate image to generate a descriptor of the image, for example, utilizing the distance transform (DT) application. An image comparing unit compares the image with a plurality of candidate images by comparing the descriptor of the image with descriptors of the plurality of candidate images. Finally, a retrieving unit retrieves one or more candidate images similar to the input image based on the comparison of their descriptors.

Abstract: A frame extraction unit detects a luminance change point frame in which the brightness change amount between frames is equal to or higher than a threshold value from a moving image formed by a plurality of frames. A flash check unit checks the presence/absence of a flash portion in the moving image on the basis of the detected luminance change point frame.

Abstract: One or more video frames may be obtained, and a background model may be constructed based on a first parameter. A second background model may be constructed using the one or more video frames based on a second parameter, the second parameter being different from the first parameter. A difference between the first and second background models may be determined. One or more stationary targets may be determined based on the determined difference. The one or more stationary targets may be classified. An alert concerning the one or more classified stationary targets may be generated.

Abstract: Disclosed is a picture quality evaluation system. The system calculates the difference between data that represent a feature value of a pixel set that constitutes a first image and data that represent a feature value of a pixel set that constitutes a second image. The system then uses at least the first image or the second image to determine the main area of focus of an image that has a specific feature and then calculates the main area of focus. The system then weights the difference in the feature value in the pixel set contained in the main area of focus and calculates the picture quality value of the first image, based on the weighted difference.

Abstract: Provided are a method and apparatus for removing image noise. The method includes: separating an input image signal into a signal component and a noise component; converting the noise component into a decorrelated noise component that is spatiotemporally decorrelated from neighboring pixels; and generating an image signal by adding the decorrelated noise component to the signal component.

Abstract: The disclosure relates to methods for determining mixedness of batch material for making ceramic ware, and methods for obtaining substantially consistent mixedness of batch material for making ceramic ware.

Abstract: Techniques are described for authenticating security documents having security images that incorporate multiple security features. The techniques may produce robust template matching results in situations of lighting unevenness, even with stronger occluding objects. The techniques may be particularly useful in validating a security document having a security image composed of one or more “virtual” retroreflective images formed over a background of a repeating retroreflective image. The virtual retroreflective images within the security image provide strong signals that may dominate analysis and validation of the background retroreflective image, thereby resulting incorrect authentication. The techniques provide a modified normalized cross-correlation analysis that masks out the strong signals contributed by the additional security features, such as the retroreflective virtual images, while still allowing for fast and efficient template matching to be performed with respect to the background image.

Abstract: A method to estimate segmented motion uses phase correlation to identify local motion candidates and a region-growing algorithm to group small picture units into few distinct regions, each of which has its own motion according to optimal matching and grouping criteria. Phase correlation and region growing are combined which allows sharing of information. Using phase correlation to identify a small number of motion candidates allows the space of possible motions to be narrowed. The region growing uses efficient management of lists of matching criteria to avoid repetitively evaluating matching criteria.

Abstract: A composite image is generated by a method including: detecting at least one in a captured image; judging arrangement of the at least one subject by an arithmetic operation; selecting at least one composition-purpose image at random in accordance with the arrangement of the at least one subject; determining arrangement of the selected at least one composition-purpose image at random so that the at least one composition-purpose image does not overlap with one another and does not overlap with the detected at least one subject; and generating a composite image by combining the captured image with the at least one composition-purpose image.

Abstract: A paper sheet identification apparatus capable of identifying an authenticity of a watermark area formed on a paper sheet is provided without increasing the cost. The paper sheet identification apparatus includes: a light receiving part receiving reflected light from a watermarked image formed on a paper sheet to be conveyed, a converter converting the reflected light from the watermarked image received by the light receiving part for each pixel as a unit of a predetermined size including color information having brightness; and an identification processing part identifying the authenticity of the watermarked image based on a correlation coefficient, which is calculated from a density value for each pixel converted by the converter and a density value for each pixel by the transmitted light from the watermarked image of the bill serving as a reference.