Abstract: A method and apparatus for checking value documents having an authenticity feature in the form of at least one luminescent substance, includes forming a measuring vector from the measuring values corresponding to different frequencies and/or frequency domains of the luminescence radiation, and performing an allocation of the measuring vector to one of a plurality of given reference vectors corresponding to different authenticity features by allocating at least one object allocation area to each reference vector and checking which object allocation area the measuring vector is located in.

Abstract: A system for macroscopic and confocal imaging of tissue having a macroscopic imager for capturing a macroscopic image of the tissue's surface, a confocal imager for capturing one or more optically formed sectional microscopic images on or within tissue, a computer for receiving images from such imagers, and a tissue attachment device in which the macroscopic imager and confocal imager are each individually presented to the tissue utilizing the tissue attachment device in a predefined alignment, such that imaging locations of the confocal imager with respect to the tissue surface spatially correlate with macroscopic image. A user interface is operable on the computer to enable display of the macroscopic image on a display coupled to the computer, and to indicate a region within the macroscopic image associated with the field of view of the tissue imagable by the confocal imager.

Abstract: A process for purpose-specific enhancement filtering of anatomical data includes acts of selecting at least one specific purpose from a predetermined list of a plurality of analytical tools for anatomical data analysis and setting specific parameter values for the specific purpose. The process also includes acts of enhancing the anatomical data using a three-dimensional, segmentation-based filter, using the specific parameter values, to provide enhanced anatomical data and using the enhanced anatomical data for the selected specific purpose.

Abstract: A dividing unit divides respective symbol sequences of input data applied with zigzag scan and a run-length process into a plurality of subsets having similar frequencies of occurrence, depending on a difference in frequencies of occurrence. A table creating unit scans each subset and creates a Huffman coding table for each subset. A coding unit executes a process for performing Huffman coding on each subset by using the Huffman coding table created for the subset, for all of the subsets in the plurality of subsets.

Abstract: Axial rebinning methods are provided for 3D time-of-flight (TOF) positron emission tomography (PET), based on 2D data rebinning. Rebinning is performed separately for each axial plane parallel to the axis of the PET scanner. An analytical approach is provided that is based on a consistency condition for TOF-PET data with a gaussian profile. A fully discrete approach is also provided, wherein each 2D TOF-PET data is calculated as a linear combination of 3D TOF-PET data having the same sinogram coordinates s and ?.

Abstract: Systems and methods for automated pattern recognition and detection of avian influenza virus in a data set corresponding to an aspect of a biological sample. The method includes receiving a first data set corresponding to a first aspect of a first biological sample, analyzing the first data set using results of a first series of algorithms processed on a second data set corresponding to an aspect of a second biological sample known to contain avian influenza virus, generating an algorithm value cache for the first data set by running a second series of algorithms on the first data set, generating a match result by comparing the algorithm value cache with the results of the first series of algorithms, and performing a processing action based on the generated match result.

Abstract: An image processing apparatus obtains image data, and extracts a subject pixel (to be subjected to color noise reduction processing) and nearby pixels which are a predetermined distance away from the subject pixel and which are not adjacent to the subject pixel. The image processing apparatus multiplies values of the extracted pixels with predetermined coefficients, and which averages the values of the extracted pixels that have been multiplied by the predetermined coefficients.

Abstract: A method for removing speckle noise from ultrasound images includes providing a plurality of digitized ultrasound (US) images, each image comprising a plurality of intensities corresponding to a domain of points on a 2-dimensional grid, initializing an initial gain associated with each of said plurality of US images, estimating a signal sub-space by averaging over each US image divided by its associated gain, and estimating an updated gain by projecting its associated image into said signal sub-space. If an absolute difference of said updated gain and said initial gain is less than a pre-determined quantity, obtaining an averaged image from said signal sub-space, estimating an optimal Wiener filter from said plurality of US images and said averaged image, and filtering said averaged image with said Wiener filter, wherein said speckle noise is substantially minimized.

Abstract: Display and navigation for multiple computer-aided detection (CAD) detections is described. A medical image is displayed to a viewer, and a request is received to instantiate CAD-assisted viewing. A timewise presentation sequence for the CAD detections is automatically computed according to a predetermined sequencing criterion. For each CAD detection, an expanded presentation window is displayed for its associated location in the medical image, the expanded presentation windows being displayed according to the timewise presentation sequence. Also described is a navigational tool comprising a plot of an operating curve onto which a computed feature associated with the CAD algorithm can be mapped, the operating curve characterizing an application of the CAD algorithm to a reference database of mammographic cases having known diagnoses.

Abstract: A method for displaying a mammography image. Digital data of the mammography image is obtained. The mammography image is segmented to identify at least a first diagnostically relevant region comprising an image of the breast tissue and a second diagnostically relevant region. A view type is assigned for the image, either cranio-caudal or medio-lateral oblique view, according to a symmetry index calculated from the segmented first diagnostically relevant region. Right or left laterality is assigned to the image according to a laterality feature calculated according to the relative position of at least the second diagnostically relevant region within the image.

Abstract: A method for processing an image of a microfluidic device. The method includes receiving a first image of a microfluidic device. The first image corresponds to a first state. Additionally, the method includes receiving a second image of the microfluidic device. The second image corresponds to a second state. Moreover, the method includes transforming the first image and the second image into a third coordinate space. Also, the method includes obtaining a third image based on at least information associated with the transformed first image and the transformed second image, and processing the third image to obtain information associated with the first state and the second state.

Abstract: A system and method for populating a database with a set of image sequences of an object is disclosed. The database is used to detect localization of a guidewire in the object. A set of images of anatomical structures is received in which each image is annotated to show a guidewire, catheter, wire tip and stent. For each given image a Probabilistic Boosting Tree (PBT) is used to detect short line segments of constant length in the image. Two segment curves are constructed from the short line segments. A discriminative joint shape and appearance model is used to classify each two segment curve. A shape of an n-segment curve is constructed by concatenating all the two segment curves. A guidewire curve model is identified that includes a start point, end point and the n-segment curve. The guidewire curve model is stored in the database.

Abstract: Certain exemplary embodiments comprise a method, which can comprise determining an image of a predetermined physiological structure of a patient. The image can be determined based upon a first set of image data of the predetermined physiological structure of the patient. The image can be based upon a second set of image data of the predetermined physiological structure of the patient. The image can be determined based upon an iteratively adjusted movement of the patient.

Abstract: A system tracks multiple moving objects in a stream of video data. In an embodiment, the system uses a combination of video motion detection data and color based data. In another embodiment, the system combines this data into a condensation framework. In yet another embodiment, the integration of the video motion data and the color-based data is done is real time. In further embodiments, the robustness of the tracking is enhanced by applying heuristics.

Abstract: A system and method for detecting and tracking an object is disclosed. A camera captures a video sequence comprised of a plurality of image frames. A processor receives the video sequence and analyzes each image frame to determine if an object is detected. The processor applies one or more classifiers to an object in each image frame and computes a confidence score based on the application of the one or more classifiers to the object. A database stores the one or more classifiers and vehicle training samples. A display displays the video sequence.

Abstract: Various improvements to digital watermarking are disclosed. For example, a digitally watermarked object can steganographically convey a payload that includes computer instructions (e.g., JAVA, ActiveX, or HTML) that—when decoded—control some manner of operation of an associated instruction processor. One application is a digital movie that, when double-clicked, automatically executes a watermark-embedded Java applet which links through a browser to the movie's distributor. The user is then prompted to input a credit card number. After the number has been verified and a charge made, the applet releases the content of the file to the computer's viewer for viewing of the movie.

Abstract: A mobile robot that is fitted with a camera and can be controlled from a remote terminal such as a mobile phone moves about in an event site to detect and track a moving object such as a visitor and entertainer. Because the camera along with the robot itself can change its position freely autonomously and/or according to a command from the mobile terminal, a desired frame layout can be accomplished by moving the position of the robot. Therefore, the operator is not required to execute a complex image trimming process or other adjustment of the obtained picture image so that a desired picture can be obtained quickly and without any difficulty. If the user is allowed access the managing server, the user can download the desired picture images and have them printed out at will. Also, because the selected picture images can be transmitted to the managing server, the robot is prevented from running out of memory for storing the picture images.

Abstract: A method and apparatus for inserting a watermark onto an illuminated image sequence. A light modulator modulates a light source. A controller controls the light modulator such that a low frequency watermark is inserted onto the illuminated image sequence.

Abstract: A method of classifying a test subject comprises collecting imaging data for a plurality of training subjects, control subjects and a test subject. An intensity volume of interest (VOI) and a morphological VOI are selected from said imaging data. Training intensity data and morphological data are calculated for the intensity and spatial VOI. A statistical model can then be created based on the training intensity data and training spatial data to provide a universe of subjects. Control intensity data and spatial data are also calculated for the intensity and spatial VOI. A classifier can then be built dividing the universe into at least two regions. The test subject data can then be applied to the classifier to provide a determination of whether the test subject falls within the first region or the second region. The condition can be a neurological disease state such as temporal lobe epilepsy or Alzheimer's dementia.

Abstract: Verification of areas within an image corresponding to banknotes includes dividing the image into a plurality of image sections; generating a banknote boundary map having border sections corresponding to a boundary of monetary banknotes within the image; generating a texture decision map having texture sections within a valid range according to a valid monetary banknote; determining a number of objects in the texture decision map by removing texture sections in the texture decision map that correspond to the border sections in the banknote boundary map; calculating a texture property value for each object; calculating a shape property value for each object; and further removing texture sections from the texture decision map corresponding to objects that do not have the texture property value within a first predetermined range and the shape property value within a second predetermined range.