Abstract: A method is provided for automatically discerning between object and non-object pixels in a hyperspectral image data cube. In particular embodiments, the object of the method is a plant, plant part, plant trait, plant phenotype, plant pot or a plant medium. The method comprises a first step of providing a partial least squares discriminant analysis (PLSDA) algorithm and a second step of applying the PLSDA algorithm to a hyperspectral image data cube to automatically determine which pixels contain the spectral properties of the object. The PLSDA algorithm of the method can be generated by establishing a training matrix, performing an eigenvector decomposition of the training matrix, experimentally determining a weighted linear combination of object signal-containing eigenvectors, calculating a regression vector using the weighted linear combination of signal-containing eigenvectors, generating a mask matrix and multiplying the mask matrix by the hyperspectral image data cube along two spatial dimensions.

Abstract: For recognizing road signs, a camera captures image data of the surroundings of a vehicle. The image data are analyzed to determine a region that contains a potential road sign. The image region is evaluated by a first classification unit to identify a road sign belonging to a particular class based on a recognized class-specific feature. Then, the brightness or color intensity of at least a portion of the road sign is analyzed along radially extending scanning beams, to determine potential contour points of an information-bearing part of the road sign, which is then extracted and semantically interpreted in a second classification unit to determine the information content thereof.

Abstract: A method of authenticating a user of a computing device is proposed, together with computing device on which the method is implemented. A plurality of objects is displayed on a display screen. The plurality of objects includes at least objects that make up a plurality of objects of the user's passcode. In response to a trigger signal an image of the user's face is captured while looking at one of the objects on the display screen. A determination of which object is in the direction of the user's gaze is made from the image and whether or not the gaze is on an object which is part of the passcode. A plurality of trigger signals may be generated to capture a plurality of images.

Abstract: A method and system for automatic object detection and subsequent object tracking in accordance with the object shape in digital video systems having at least one camera for recording and transmitting video sequences. In accordance with the method and system, an object detection algorithm based on a Gaussian mixture model and expanded object tracking based on Mean-Shift are combined with each other in object detection. The object detection is expanded in accordance with a model of the background by improved removal of shadows, the binary mask generated in this way is used to create an asymmetric filter core, and then the actual algorithm for the shape-adaptive object tracking, expanded by a segmentation step for adapting the shape, is initialized, and therefore a determination at least of the object shape or object contour or the orientation of the object in space is made possible.

Abstract: An information presentation device includes an object information acquiring unit and an information presentation control unit. The object information acquiring unit acquires object identification information and relative positional information on the relative position between an object and a camera. The object identification information and the relative positional information are obtained by performing processing for detecting and identifying the object for image data. The information presentation control unit controls presentation of information on the basis of the object identification information and the relative positional information.

Abstract: Certain aspects of an apparatus and method for method and apparatus for tissue region identification may include segmenting the image into a plurality of regions, filtering out regions in the plurality of regions which are curvilinear, and isolating a target area where the tissue sample is identified as the plurality of regions not filtered.

Abstract: A method of geodetically locating pixels of a captured image of a planetary body comprises the steps of: detecting an object on the planetary body using an imaging sensor viewing the planetary body; matching the object to a predetermined landmark on the planetary body; and updating, at a time tk, a state vector representing kinematics of the imaging sensor, and tk representing a present update time. Updating the state vector at the present time occurs if, and only if, the matching step is successful. In addition, the method includes computing a line-of-sight (LOS) vector from the imaging sensor to the planetary body, based on observations of the planetary body and the kinematics of the state vector; and geodetically locating the pixels of the captured image, based on the LOS vector. The LOS vector is based only on (a) the predetermined landmark and (b) a position command from a ground processing segment to the imaging sensor.

Abstract: A method and system for automatically creating an image product based on media assets stored in a database. A number of stored digital media files are analyzed to determine their semantic relationship to an event and are classified according to requirements and semantic rules for generating an image product. Rule sets are applied to assets for finding one or more assets that can be include in a story product. The assets, which best meet the requirements and rules of the image product are included.

Abstract: A programmable computer-implemented method is provided for finding possible corners of a pallet in an image. The method may comprise: acquiring a grey scale image including one or more pallets; determining, using a computer, horizontal cross correlations between the image and a first step-edge template to generate a set of horizontal cross correlation results; determining, using the computer, vertical cross correlations between the image and a second step-edge template to generate a set of vertical cross correlation results; and determining, using the computer, a first set of pixels, each such pixel respectively corresponding to a possible first corner of the one or more pallets, using a first corner template, the set of horizontal cross correlation results and the set of vertical cross correlation results.

Abstract: A diagnostic device includes a microscope configured to obtain image data on a plurality of cells and a computing device. The computing device is configured to receive the image data, identify at least a portion of each of the plurality of cells based on the received image data, determine at least one of a value of a morphological parameter for each identified at least a portion of the plurality of cells or a relative organization among the identified at least a portion of the plurality of cells, and calculate statistics for the plurality of cells based on the at least one of the determined values of the morphological parameter or the determined relative organization, the statistics including information suitable for distinguishing metastatic cells from non-metastatic cells. The diagnostic device further includes an output device configured to output the statistics for diagnosis.

Abstract: A recognition device and method capable of recognizing 3D position and orientation of an article at low calculation cost. A 2D image of a region, where articles are randomly located, is obtained by a camera, and 3D information of generally the same region is obtained by a range sensor. A space, where an article to be taken out is considered to exist, is roughly limited. Based on the limited space, a search condition for searching the article by 2D image processing is set, and 2D positional information on the image of the article is obtained. Then, 3D point data used to recognize the 3D position and orientation of the article is selected, and a view line in the 3D space, extending from the camera to the article, is calculated, whereby the 3D position and orientation of the article is calculated.

Abstract: An image processing method for generating a vehicular image includes the following steps: providing a first image, wherein the first image has a first specific region, and pixel data of each pixel in the first specific region is converted to a predetermined value; providing a second image, and overlapping the first image and the second image to form an overlapping region; comparing the predetermined value with pixel data of each pixel in the first image overlapped on the second image to generate a comparison result; and determining whether pixel data of each pixel in the overlapping region is pixel data of the first image or pixel data of the second image according to the comparison result, and accordingly generating the vehicular image.

Abstract: A method for reconstructing image component densities of an object includes acquiring multi-spectral x-ray tomographic data, performing a material decomposition of the multi-spectral x-ray tomographic data to generate a plurality of material sinograms, and reconstructing a plurality of material component density images by iteratively optimizing a functional that includes a joint likelihood term of at least two of the material decomposed sinograms. An x-ray tomography imaging system and a non-transitory computer readable medium are also described herein.

Abstract: Cloud cover assessment system and method provides for automatically determining whether a target digital image acquired from remote sensing platforms is substantially cloud-free. The target image is acquired and compared to a corresponding known cloud-free image from a cloud-free database, using an optimized feature matching process. A feature matching statistic is computed between pixels in the target image and pixels in the cloud-free image and each value is converted to a feature matching probability. Features in the target image that match features in the cloud-free image exhibit a high value of feature matching probability, and are considered unlikely to be obscured by clouds, and may be designated for inclusion in the cloud-free database.

Abstract: A system includes a perfusion information determiner (124) that determines perfusion information based on a combination of pre-perfusion scan image data and perfusion scan image data.

Abstract: Treatment for a variety of diseases often requires guidance for the delivery of either a drug or radiation to the disease site. Positron Emission Tomography (PET) can provide three dimensional positioning of the location of positron emitting radioisotopes that can mark a disease site. However, the inversion of the raw emission projection data into a 3D volume is computationally intensive, and this results in a low update or frame rate. In order to be useful in either guiding a surgeon, or some other automated feedback approach, the update/frame rate must be of sufficient speed that the user can effectively control the process. This approach provides a substantial improvement to the frame rate by taking advantage of iterative reconstruction methodologies to shortcut the reconstruction process.

Abstract: A method for performing transcoding resistant watermarking of digital media content is provided. The method enables obtaining a plurality of spectral frequency bands of the digital media content. The method further enables calculating an entropy value for each of the plurality of spectral frequency bands. The entropy value quantifies information in each of the plurality of spectral frequency bands. The method further enables selecting a spectral frequency band from amongst the plurality of spectral frequency bands based on the calculation. The selected spectral frequency band has the highest entropy. Furthermore, the method enables inserting a watermark in the selected spectral frequency band of the digital media content.

Abstract: A method for measuring a distance between a lower end surface of a heat shielding member including a criterion reflector inside a concavity on the lower end surface and a surface of a raw material melt includes: a silicon single crystal is pulled by the Czochralski method while a magnetic field is applied to the raw material melt in a crucible, measuring the distance between the lower end surface of the heat shielding member and the surface of the raw material melt and observing a position of a mirror image of the criterion reflector with a fixed point observation apparatus; and measuring a movement distance of the mirror image with the apparatus and calculating the distance between the lower end surface of the heat shielding member and the surface of the raw material melt from the movement distance of the image and the measured distance.

Abstract: A system is provided for identifying reference locations within the environment of a device wearer. The system includes a scene camera mounted on eyewear or headwear coupled to a processing unit. The system may recognize objects with known geometries that occur naturally within the wearer's environment or objects that have been intentionally placed at known locations within the wearer's environment. One or more light sources may be mounted on the headwear that illuminate reflective surfaces at selected times and wavelengths to help identify scene reference locations and glints projected from known locations onto the surface of the eye. The processing unit may control light sources to adjust illumination levels in order to help identify reference locations within the environment and corresponding glints on the surface of the eye. Objects may be identified substantially continuously within video images from scene cameras to provide a continuous data stream of reference locations.

Abstract: A radiographic-image processing apparatus that can accurately remove striated artifacts superimposed onto image data taken by an FPD radiographic imaging device includes: a partitioning section that partitions a region, in which image data taken by a radiographic imaging device is arranged two-dimensionally, into segments; a mean-value computation section that computes mean values from the image data along the same scanning line in each segment; an edge compression section that compresses mean-value differentials in boundary regions between the imaged subject and the surroundings thereof; a filtering section that applies an adaptive filter to the differential-compressed profile; and a correction-data creation section that creates correction data on the basis of each datum in the adaptive-filtered profile. Image data in which noise is removed is generated by subtracting corresponding correction data from the image data.