Abstract: Apparatus and method to facilitate automatic detection of a device state are disclosed herein. Selectively constraining a sensor based data set associated with one or more states of a device, wherein selectively constraining the sensor based data set includes analyzing a distribution of the sensor based data set to determine whether to constrain the sensor based data set, the sensor based data set including a first class and a second class of data values. Determining a threshold associated with the sensor based data set by selecting the threshold based on a variance between the first and second classes of the sensor based data set, wherein selecting the threshold includes using a constrained sensor based data set when the sensor based data set is determined to be constrained, and wherein the threshold indicates the data values associated with the first and second classes.

Abstract: An apparatus and method for imaging quality assessment of an imaging system employs an aggregate phantom and a processor for imaging analysis. The aggregate phantom includes a plurality of self-contained sections configured to be moved independently and re-assembled in the imaging system. Each section includes fiducial features of known relative location. The processor: quantitatively determines location of the fiducial features within an image of the aggregate phantom; compares the determined location within the image to the known relative location of the fiducial features to produce a distortion field; and distinguishes between actual geometric distortion of the imaging system and rigid-body transformations of sections of the aggregate phantom, in the distortion field. For extended fields-of-view, the aggregate phantom may be repositioned, and sets of images combined to determine a distortion field of the extended image.

Abstract: An apparatus and method for imaging quality assessment of an imaging system employs an aggregate phantom and a processor for imaging analysis. The aggregate phantom includes a plurality of self-contained sections configured to be moved independently and re-assembled in the imaging system. Each section includes fiducial features of known relative location. The processor: quantitatively determines location of the fiducial features within an image of the aggregate phantom; compares the determined location within the image to the known relative location of the fiducial features to produce a distortion field; and distinguishes between actual geometric distortion of the imaging system and rigid-body transformations of sections of the aggregate phantom, in the distortion field. For extended fields-of-view, the aggregate phantom may be repositioned, and sets of images combined to determine a distortion field of the extended image.

Abstract: A calibrator for cameras includes a controlling circuit, a photographing circuit, a calculating circuit, and an instructing circuit. The controlling circuit is configured to control a movable body in a shooting area of the cameras. A marker is provided on the movable body for calibration of the cameras. The photographing circuit is configured to control the cameras to photograph the marker at a first position at a first timing to generate first images. The photographing circuit is configured to control the cameras to photograph the marker at a second position at a second timing to generate second images. The calculating circuit is configured to calculate parameters of the cameras based on the first images and the second images. The instructing circuit is configured to transmit the parameters to the cameras to calibrate the cameras.

Abstract: An inspection system includes a first imaging device provided in a first inspection device; a second imaging device provided in a second inspection device; a first controller; and a second controller, wherein the first controller acquires a particular feature of a calibration jig, which is positioned in the first inspection device, from an image of the calibration jig obtained by the first imaging device as first feature data, and the second controller acquires the particular feature of the calibration jig, which is positioned in the second inspection device, from an image of the calibration jig obtained by the second imaging device as second feature data. The correction amount needed for correcting the image obtained by the second imaging device so that the second feature data matches the first feature data is acquired, and the second inspection device corrects an image of an inspection subject using this correction amount.

Abstract: Computer-based systems, software, and methods are provided for implementing a spreadsheet-based programming language adapted for report generation.

Abstract: A method for processing an image including a table is provided. The method includes: identifying a plurality of connected components that form the table; generating a skeleton graph comprising a plurality of edges based on the plurality of connected components; calculating a typesetness score that compares the table to a template table based on the plurality of edges; determining a rotation angle for the table and generating a custom coordinate system for the table based on the rotation angle; identifying a plurality of cells in the table based on the skeleton graph, the typesetness score, and the custom coordinate system; linking each of the plurality of cells based on the plurality of edges and validating a link between the plurality of cells; generating a grid of cells based on the link and comprising the plurality of cells; and exporting the grid as a high-level representation of the table.

Abstract: An apparatus and method for imaging quality assessment of an imaging system employs an aggregate phantom and a processor for imaging analysis. The aggregate phantom includes a plurality of self-contained sections configured to be moved independently and re-assembled in the imaging system. Each section includes fiducial features of known relative location. The processor: quantitatively determines location of the fiducial features within an image of the aggregate phantom; compares the determined location within the image to the known relative location of the fiducial features to produce a distortion field; and distinguishes between actual geometric distortion of the imaging system and rigid-body transformations of sections of the aggregate phantom, in the distortion field. For extended fields-of-view, the aggregate phantom may be repositioned, and sets of images combined to determine a distortion field of the extended image.

Abstract: An inspection apparatus includes an imaging unit that captures an image of a board having a land on which a solder piece has been printed, an image of the board having a component mounted on the solder piece, or an image of the board having the component soldered to the land, a land determination unit that determines a position of an element on the board other than the land from the image of the board captured by the imaging unit, and determines a position of the land in the image based on the determined position of the element, and an inspection unit that inspects the solder piece or component on the land using the position of the land determined by the land determination unit as a reference.

Abstract: An image processing method of reduced an amount of calculation in pattern matching processing, using a reference image. A computer sets searching regions on the input image so as to correspond to a plurality of distributed regions of the work positions to be detected on the input image, respectively, detects the predetermined number of work positions by performing the pattern matching processing by using the reference image in the continuous searching regions, on a predetermined number of input images, and determines distribution of the work positions on the input images, based on the predetermined number of the work positions which have been detected and detects the work positions by performing the pattern matching processing by using the reference image, in the plurality of searching regions which have been set in the setting process, and determining an evaluation value of pattern matching, every time the pattern matching processing is performed.

Abstract: The present invention relates to a method for correcting a fragmentary or deformed quadrangular image. The method comprises five steps, i.e. detection of an edge point, elimination of an abnormal edge point, straight-line fitting, vertex calculation and image correction. The method for correcting a fragmentary or deformed quadrangular image is applied to a recognition method and a recognition system for papers, such as valuable documents, bills, identity cards, etc., and can rapidly conduct edge detection and tilt correction on images of valuable documents, bills or papers which are fragmentary or deformed.

Abstract: Rooms, structures, vehicles, and other objects can be accurately diagrammed, often without performing a physical on-site inspection. Photographs of a room, structure, vehicle, or other object are uploaded to a computer having a processor. A base calibration measure is determined for a room, structure, vehicle, object, or component thereof, depicted in the photographs using at least one known dimension for items observable in the photographs. The base calibration measure is then used to determine dimensions of other areas, items, or objects depicted in such photographs, and to create at least one scale diagram of the subject matter of the photographs. Damages areas of the structure/vehicle/object can be assessed from the scale diagram. The scale diagram can then be used to calculate appropriate insurance payment amounts for damage claims.

Abstract: A method processes measurement data of an object using a computing device. The method obtains measurement data of preselected feature elements of a measured object, inserts the measurement data of the preselected feature elements into a data list, obtains measured results of the preselected feature elements from a measurement tool, and calculates tolerance values of the preselected feature elements according to the measured results. The method further searches pixel icons of the preselected feature elements according to tolerance values and the measured results, inserts the pixel icons and the measured results into the data list, receives selections of a user and displays the data list in different list modes.

Abstract: In various embodiments, methods, systems, and computer program products for processing digital images captured by a mobile device are disclosed. Myriad features enable and/or facilitate processing of such digital images using a mobile device that would otherwise be technically impossible or impractical, and furthermore address unique challenges presented by images captured using a camera rather than a traditional flat-bed scanner, paper-feed scanner or multifunction peripheral.

Abstract: A non-transitory computer-readable storage medium stores image data for adjustment of image formation. The image data includes a cross-hair formed in a corner of a recording medium, and a corner edge detection mark formed to detect a folded corner edge of the recording medium from read data obtained when the corner of the recording medium including an area where the cross-hair is formed on one side is folded to an opposite side to the one side of the recording medium and an image reader reads the opposite side.

Abstract: Three-dimensional data is associated with a first imaging area including a left breast of a subject to be examined and a second imaging area including a right breast of the subject. An image displaying apparatus includes a specifying unit that specifies a nipple position of the left breast on the basis of positional information of pressure plates from the three-dimensional data. The image displaying apparatus also includes a generating unit that generates, by a maximum intensity projection, four projection images from the three-dimensional data. Two of the projection images respectively correspond to a plurality of divided areas of the left breast in the first imaging area divided on the basis of the specified nipple position. Two of the projection images respectively correspond to a plurality of divided areas of the right breast in the second imaging area. The four projection images are simultaneously displayed.

Abstract: A three-dimensional measurement apparatus includes a model holding unit configured to hold a three-dimensional shape model of a measurement object and a determination unit configured to determine a distance measurement region on the measurement object based on information indicating a three-dimensional shape of the measurement object. The measurement object is irradiated with a predetermined illumination pattern by an illumination unit. An image of the measurement object is sensed while the illumination unit irradiates the measurement object. Distance information indicating a distance from the image sensing unit to the measurement object is calculated based on region corresponding to the distance measurement region within the sensed image. A position and orientation of the measurement object is calculated based on the distance information and the three-dimensional shape model.

Abstract: Means which enables image conversion in which a plurality of conversion results can be output without once saving all of video-image data, which has been input from image-pickup means, in a storage medium is provided. A single line memory having a plurality of lines is used while switching the role thereof for a reading use by a video-image converting means and a use for inputting image data from the image-pickup means. The image converting means obtains an input image, which is in the line memory, and carries out conversion of the input image based on a conversion specifying means interpreted by an instruction decoder.

Abstract: Inputs of a plurality of images constituting a group of images of items regarded as non-defective items are accepted and stored, and a defect threshold for detecting a defective portion of an inspection object and a determination threshold for making a non-defective/defective determination are set based on the plurality of stored images. A defective item image which is an image of an item determined as a defective item is previously stored and when an input of an image newly acquired by capturing an inspection object is accepted, non-defective item learning processing is performed by use of a plurality of stored images including the image whose input has been accepted, to at least reset the defect threshold. A defective portion is re-detected based on the reset defect threshold, to determine whether or not the stored defective item image is an image of a defective item based on the set determination threshold.

Abstract: In one example, a system for fitting golf equipment for an individual can be configured to be used with an electronic device comprising a fitting processor module and a camera. The system can comprise an image analysis module configured to receive image data of at least a portion of the individual and one or more physical indicia proximate to the individual, where the image data can be captured by the camera. The image analysis module can also be configured to recognize one or more reference features of the individual from the image data, and to calculate one or more fitting dimensions between the one or more reference features in the image data. Other examples, devices, and related methods are also disclosed herein.

Abstract: An alignment system for permanently marking a workpiece with a marking device includes a camera, a display operatively connected to the camera and configured to generate an image as a function of camera input, a template having a marking area designation located in relation to the display such that the image is displayed against the marking area designation, and an adjustment table configured to allow controllable repositioning of the workpiece relative to the marking device.

Abstract: A method of inserting an image into a container file including reading source data including the image; opening the container file where the image will be stored, the container file comprising one or more records. Each record includes an image file section reserved for storing the image, an image metadata section reserved for storing data about the image, and a record metadata section having a status flag or status mark indicating whether the image file section is empty. The method further includes determining whether the source data is valid to be entered into a record in the one or more records; if the source of data is valid, preparing the record and the image metadata; and writing the record into the container file and marking the status mark of the record as being updated while writing the record into the container file.

Abstract: A method and an apparatus for determining a projection area of an image are provided. The method for determining a projection area of an image, comprises: an input step of inputting an image sequence having a plurality of images; a detecting step of detecting locations of projection areas of the respective images in the image sequence; a relationship classification judging step of judging a relationship classification between the image and a previous image before the image being projected based on a relationship between the location of the projection area of the image and the location of the projection area of the previous image; and a determining step of determining the locations of the projection areas of the respective images based on the relationship classification judged in the relationship classification judging step.

Abstract: A method for the microscopy of samples using optical microscopy and particle beam microscopy provides that the samples are divided into a partial quantity and a residual quantity and the samples of the partial quantity are prepared to contain registration marks. The samples of the partial quantity are imaged using optical microscopy and particle beam microscopy, with the result that a pair of optical microscopy images and particle beam microscopy images is obtained for each sample of the partial quantity. The pairs are position-registered relative to each other using the registration marks. The images of the position-registered pairs are modified by removing the registration marks. A registration algorithm is trained which evaluates the image contents and issues a quality measure for a position registration of each pair. The objects of the residual quantity are imaged. These pairs are position-registered by the trained registration algorithm to maximize the quality measure.

Abstract: A method to determine a fiducial point for holographic data storage is disclosed, which utilizes a gray-level frame to sequentially retrieve a regional image used as a retrieved image with the size equal to that of the frame from a received gray-level image. The gray-level frame is compared with each retrieved image to obtain a plurality of values and construct a 2D proto-matrix. The 2D proto-matrix is transformed into a 2D matrix via letting the values smaller than 0 be 0. The 2D matrix and a retrieving matrix, which has a dimensionality equal to or smaller than that of the frame, are used to obtain an anchor matrix. A greatest value in the central region of the 2D matrix is found to function as an anchor value according to the anchor matrix, thereby find a fiducial point in the gray-level image.

Abstract: The present disclosure relates to acquiring image data of a subject and selecting image data to be displayed. The image data can include a plurality of frames that relate to a specific location of a tracking device positioned within the subject. The determined location of the tracking device can be used to determine which frame of the image data to display at a selected time.

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: A method and apparatus for estimating stereo misalignment using modified affine or perspective model. The method includes dividing a left frame and a right frame into blocks, comparing horizontal and vertical boundary signals in the left frame and the right frame, estimating the horizontal and the vertical motion vector for each block in a reference frame, selecting a reliable motion vectors from a set of motion vectors, dividing the selected block into smaller features, feeding the data to an affine or a perspective transformation model to solve for the model parameters, running the model parameters through a temporal filter, portioning the estimated misalignment parameters between the left frame and right frame, and modifying the left frame and the right frame to save some boundary space.

Abstract: A projection system and an image processing method thereof are provided. The system includes a projector module, a photography module and a processing module. The projector module projects a first image frame to an object surface. The photography module photographs the object surface to derive a second image frame including the first image frame and an indication point, wherein the indication point is formed by light projected on the object surface by an external device. The processing module analyzes the second image frame to derive coordinate of the indication point in the second image frame, derives coordinate of at least a feature point of the first image frame in the second image frame according to a linear-approximation method, and transforms the coordinates of the indication point in the second image frame to the coordinates in the first image frame by using two-dimensional coordinate transformation equations.

Abstract: An image reader includes a light source that irradiates light to a recording material on which an image is formed, a generation section that receives light reflected from the recording material and generates image information from the received light, and a processing section that extracts information corresponding to a window region of the recording material set in advance, as correction information, from the image information generated by the generation section when light from the light source is irradiated to the recording material on which the image is formed.

Abstract: A thin overlay structure for use in imaging based metrology is disclosed. The thin overlay structure may include a first structure and second structure, the first and second structures designed to have a common center of symmetry, both structures being invariant to a 180 degree rotation about the common center of symmetry, wherein a mark region defining the extent of the structures is characterized by a first direction and a second direction orthogonal to the first direction, a length of the mark region along the first direction being greater than a length of the mark region along the second direction.

Abstract: A game apparatus detects a predetermined image object including a first graphic pattern with a plurality of inner graphic patterns drawn therein from a captured image captured by an image-capturing section. The game apparatus first obtains the captured image captured by the image-capturing section, and detects an area of the first graphic pattern from the captured image. Then, the game apparatus detects the plurality of inner graphic patterns from within the detected area, and calculates center positions of the inner graphic patterns so as to detect the position of the predetermined image object.

Abstract: First, it is determined whether or not a contour or vertices have been detected from a certain image. Then, when it is determined that a contour or vertices have been detected from the certain image, a pattern matching process is performed on, in the image, an area surrounded by the contour or the vertices detected from the image. Then, when it is determined that a predetermined object or a predetermined design is displayed in the area, detection position information indicating a position related to the area is stored in a storage area. On the other hand, when it is determined that a contour or vertices have not been detected from the certain image, a pattern matching process is performed on the image on the basis of the detection position information stored in the storage area.

Abstract: A method for imaging features on a substrate, comprising scanning the substrate and producing an image thereof, overlaying a grid model on the image, fitting the grid model to the locations of at least some of the features on the image, and extracting images of the features.

Abstract: Provided is an image matching method of matching at least two images. The image matching method extracts feature points of a reference image and feature points of a target image, changes a feature point, selected from among the feature points of the reference image, to a reference point in the target image, sets a matching candidate region on the basis of the reference point, in the target image, and performs a similarity operation between the selected feature point in the reference image and a plurality of feature points included in the matching candidate region among the feature points of the target image. The image matching method decreases the number of similarity operations performed in the image matching operation, thereby guaranteeing a high-speed operation.

Abstract: It is an object of the present invention is to provide an image processing technique that can detect the rotation of an observation image of a specimen with high accuracy. An image processing apparatus according to the present invention indirectly corrects a rotation gap between measurement image data and reference image data through wide-angle image data including a measurement part of a specimen (FIG. 1).

Abstract: A method of labeling pixels in an image that represent human skin are detected and one or more regions in the image are identified. Each region may include all or a portion of a human face. Pixels that represent each face in the image are identified using the pixels that represent skin and the regions that include faces of the people, thereby identifying a position of each face in the image. A face mask and a torso map corresponding to each face is determined using determined face positions. The extracted face masks and the torso maps are used to refine a skin map. A person or people map is determined using the skin map and the rough body map.

Abstract: Certain embodiments of the present invention provide a system and method for synchronized viewing of a plurality of images of an object. Corresponding landmarks of an object are synchronized between a first image set and a second image set. In an embodiment, the landmarks are folds of a human colon and the first image set and second images sets are computerized tomography scans, at least one image set being a prone scan of a portion of anatomy and at least one image set being a supine scan of a portion of the anatomy. An indicator for at least a first location in a first image set is displayed. The location of a second location in a second image set of an object is determined, wherein the second location corresponds to the first location of the object. The second location in the second image set is displayed.

Abstract: A detection device of a planar area is provided. The detection device includes an image obtaining section for obtaining a left image and a right image; a planar area aligning section for setting given regions of interest to the obtained left image and the right image, and through use of a geometric transform function that matches the region of interest of the right image with the region of interest of the left image, performing geometric transform to generate a geometric transform image; and a planar area detecting section for detecting a planar area based on the geometric transform image and the region of interest of the right image. The planar area aligning section sets the planar area detected by the planar area detecting section as a given region of interest.

Abstract: This is directed to determining the relative position of several devices by capturing representations of the device environments in which a tag is located. The devices can compare the captured representations to determine a perspective of the tag corresponding to each device. In some cases, a device can determine an absolute position relative to a coordinate system integrated in a tag. Using the positioning information, several devices can receive directions to come together at a particular meeting point. In some cases, several devices can operate an application that requires the interaction of several users of the devices (e.g., multi-player games). The application can control the time or manner in which inputs are provided based on the relative positions of the devices. In some cases, the devices can display virtual content that is shared across several devices, where the different devices can each interact with the virtual content.

Abstract: A method of operation of an image processing system includes: identifying a feature point on a first image; determining a matching point on a second image with the matching point corresponding to the feature point; calculating an offset component between the feature point and the matching point with the offset component having a vertical offset; identifying a correction field for updating the first image and the second image, with the correction field having a vertical adjustment, a zoom adjustment, a rotational adjustment, and a keystone adjustment; and updating the first image and the second image using the correction field for minimizing the offset component for displaying an aligned image on a device.

Abstract: Disclosed is an alignment system comprising: an upper reflector to couple to an end effecter and a camera kit to couple to a fixture. The camera kit includes: a plurality of light sources; a camera; and a lower reflector including a camera opening and a plurality of light source openings. The lower reflector may be approximately parallel to the fixture. The camera may be positioned beneath the camera opening and may capture light images reflected from both the lower reflector and the upper reflector from the plurality of light sources. An image processor is coupled to the camera, wherein image data associated with the captured light images is transmitted from the camera to the image processor. The image processor is used to determine an adjustment value based upon the image data to tilt the end effecter such that the end effecter is moved to be approximately parallel to the fixture.

Abstract: An image transfer assembly and method capable of adjusting the registration of an image printed on paper. A first image location being determined on at least one first sheet by measuring for each of at least three corners of a first sheet the distance between the two adjoining edges of the respective corners to a portion of at least one first fiducial mark. For each of the measured first sheet corners the measured portion of the at least one first fiducial mark is closer to that respective corner than any other of the first sheet corners. Then a second image to be transferred is adjusted by changing, relative to at least one second sheet, at least one of a size, shear, position and orientation of the second image based on the determined first image location. The adjusted second image being then printed on the second sheet(s).

Abstract: An apparatus for determining misalignment between a first image and a second image, the first and second images being viewable stereoscopically, the apparatus comprising: a determiner operable to determine a feature position within the first image and a corresponding feature position within the second image; a definer operable to define, within the first image and the second image, the optical axis of the cameras capturing said respective images; a calculator operable to calculate the misalignment between the feature position within the first image and the corresponding feature position within the second image using a model, the misalignment being determined in dependence upon the location of the feature position of the first image and the corresponding feature position of the second image relative to the defined optical axis of the respective images; and a tester operable to test the validity of the calculated misalignment using a random sample consensus technique, whereby the tested misalignment is valid w

Abstract: A marker attaching apparatus attaches to an image a positioning marker for detecting a specific area in the image, and includes: an area size detection unit detecting a size of an area to which the positioning marker is attached; a marker adjustment unit adjusting the positioning marker depending on the detected size of the area; and a marker attaching unit attaching the adjusted positioning marker to the image.

Abstract: An image processing apparatus includes: a division section for dividing input image data into portions; an orientation determining section for calculating reliabilities of directions of image data of each portion when the directions are regarded as orientations, and setting an orientation with the highest reliability as an orientation of each portion; a display control section for generating display image data including an image of a target portion whose reliability of an orientation is less than a predetermined value and images of designation regions from which a user's input to designate the orientation of the target portion is entered; and a character recognition section for recognizing characters of each portion in such a manner that the orientation is designated from the designation regions or set by the orientation determining section. This allows prompt recognition of characters of a portion whose reliability of orientation is low, in accordance with a right orientation.

Abstract: The present invention discloses a control unit, a video device employing said control unit and a control method thereof, wherein the control unit includes: a recognition device which is used to recognize the target in the target image; a calculation device which is used to calculate and transform the position coordinate of the recognized imaging target from the recognition device and output the position of the operation unit.

Abstract: Systems, methods, and apparatuses, including computer program products, are provided for re-layout of composite images. In some implementations, a method includes identifying geometric transformations corresponding to multiple images from a collection of images, where a geometric transformation reorients a corresponding image in relation to a common reference frame when applied and identifying a reference image for the multiple images in the collection of images. The method also includes determining overlapping image regions for the multiple images starting from the reference image, the determining based on the identified geometric transformations, determining additional transformations of a specified type for the multiple images based on the overlapping image regions, where an additional transformation lays out a corresponding image in relation to the reference image when applied, and making the additional transformations available for further processing and output with respect to the collection of images.

Abstract: Methods, devices, and systems for use in accomplishing registration of a patient to a robot to facilitate image guided surgical procedures, such as stereotactic procedures.

Abstract: An apparatus and a method for determining the annual ring center of a wood block are disclosed. A plurality of lines of path is figured out and generated. Each line of path is composed of a plurality of lines each extending normal to a line that is tangential to an annual ring in an image of the wood block end. The normal line may be figured out, for example, by calculating the variance of values of pixels lying on each of a plurality of straight lines of a filter and the sum of the variances for the plurality of straight lines at a plurality of different angular positions of the filter. The annual ring center in the image of the wood block end is determined through calculation based on the points of intersection of the generated lines of path.