Abstract: Reaction values indicating based on which areas in an input image a plurality of identification results representing the states of cells or tissues are judged are calculated, and differences between a plurality of reaction values are obtained to thereby calculate the degree to which cells or tissues in an area of interest likely are in each state. Thereby, each state of cells or tissues can be visualized at an accurate position in an area of interest; therefore, diagnostic assistance to pathologist becomes possible.

Abstract: An image processing device includes a contrasting correction unit, a color analysis unit, an object detection unit, and an object relation analysis unit. The contrasting correction unit creates a contrasting corrected image by correcting contrasting of an input image captured by a vehicle camera. The color analysis unit creates a color corrected image by correcting colors of the input image. The object detection unit detects a main sign included in the input image based on the contrasting corrected image and detects an auxiliary sign included in the input image based on the color corrected image. The object relation analysis unit recognizes a traffic sign as a combination of a main sign and auxiliary sign by associating the main sign and the auxiliary sign with each other based on a positional relationship between the main and auxiliary signs, which are detected by the object detection unit, in the input image.

Abstract: An image processing apparatus includes: a storage unit configured to store map information to which object information indicating an object and a position thereof is added, and a plurality of different classifiers for classifying an object in an image; an object detecting unit configured to detect an object in a target image; and an object recognizing unit configured to select any of the classifiers based on a photographing position that is a position at which the target image has been photographed and the object information added to the map information and, using the selected classifier, recognize the object detected by the object detecting unit.

Abstract: Provided is a technique for, even when the lightness of an image contained in a video changes, accurately separating the background of the image and an object in the background and thus efficiently collecting images that contain a target object to be detected, and also suppressing the amount of data communicated between a terminal device and a server. In the present invention, a terminal device accurately separates the background of an image and an object (i.e., a target object to be detected) in the background so as to simply detect the object in the background, and transfers to a server only candidate images that contain the detected object. Meanwhile, as such simple target object detection may partially involve erroneous detection, the server closely examines the candidate images to identify the target object to be detected, and thus recognizes the object.

Abstract: An image processing apparatus includes: a contrast correcting unit which creates a contrast-corrected image in which contrast of an input image photographed by an in-vehicle camera that is mounted to a vehicle is corrected; a color analyzing unit which creates a color-corrected image in which a color of the input image is corrected; an object detecting unit which detects a first target object included in the input image based on the contrast-corrected image, and which detects a second target object included in the input image based on the color-corrected image; and an object association analyzing unit which recognizes the first target object and the second target object based on a time series association between the first target object and the second target object detected by the object detecting unit.

Abstract: The present invention realizes determination of tissues and cells from an image by calculating feature values of a deformed degree of the cells even in a case where the tissues or the cells have various shapes. An image diagnosis support apparatus according to the present invention executes processing of inputting an image of cells, processing of extracting the feature values of a plurality of direction components from a target image of the processing, processing of determining whether or not the image corresponds to one-classification by using the plurality of feature values, and processing of determining whether or not the determination processing is finished with respect to all of the classifications set in advance (FIG. 1).

Abstract: An image processing device includes a contrasting correction unit, a color analysis unit, an object detection unit, and an object relation analysis unit. The contrasting correction unit creates a contrasting corrected image by correcting contrasting of an input image captured by a vehicle camera. The color analysis unit creates a color corrected image by correcting colors of the input image. The object detection unit detects a main sign included in the input image based on the contrasting corrected image and detects an auxiliary sign included in the input image based on the color corrected image. The object relation analysis unit recognizes a traffic sign as a combination of a main sign and auxiliary sign by associating the main sign and the auxiliary sign with each other based on a positional relationship between the main and auxiliary signs, which are detected by the object detection unit, in the input image.

Abstract: The purpose of the present invention is to provide image processing technology that can reduce shimmering in the entirety of images that include both still regions and moving bodies. This image processing device finds gradient distribution for each of a frame to be corrected and a frame for correction, changes, according to the degree of similarity in the gradient distribution, the proportion in which the frame to be corrected and the frame for correction are used, and then corrects the frame to be corrected using the frame for correction (see FIG. 1).

Abstract: Even when the brightness of an image in a video changes, detection of an object in the background is realized by accurately separating the object in the background from the background of the image. An image processing device in accordance with the present invention executes a process of converting a color space of a processing target image and acquiring color information on the converted color space, a process of calculating, for the target image, an average value of the brightness of color information on a target region that contains an object to be detected, and a process of comparing, for the target region, the brightness of color information on each pixel with the calculated average value, a process of generating a corrected image with corrected brightness/darkness, and a process of extracting the object on the basis of the corrected image (See FIG. 1).

Abstract: Provided is a technique for, even when the lightness of an image contained in a video changes, accurately separating the background of the image and an object in the background and thus efficiently collecting images that contain a target object to be detected, and also suppressing the amount of data communicated between a terminal device and a server. In the present invention, a terminal device accurately separates the background of an image and an object (i.e., a target object to be detected) in the background so as to simply detect the object in the background, and transfers to a server only candidate images that contain the detected object. Meanwhile, as such simple target object detection may partially involve erroneous detection, the server closely examines the candidate images to identify the target object to be detected, and thus recognizes the object.

Abstract: Even when the brightness of an image in a video changes, detection of an object in the background is realized by accurately separating the object in the background from the background of the image. An image processing device in accordance with the present invention executes a process of converting a color space of a processing target image and acquiring color information on the converted color space, a process of calculating, for the target image, an average value of the brightness of color information on a target region that contains an object to be detected, and a process of comparing, for the target region, the brightness of color information on each pixel with the calculated average value, a process of generating a corrected image with corrected brightness/darkness, and a process of extracting the object on the basis of the corrected image (See FIG. 1).

Abstract: The purpose of the present invention is to provide image processing technology that can reduce shimmering in the entirety of images that include both still regions and moving bodies. This image processing device finds gradient distribution for each of a frame to be corrected and a frame for correction, changes, according to the degree of similarity in the gradient distribution, the proportion in which the frame to be corrected and the frame for correction are used, and then corrects the frame to be corrected using the frame for correction (see FIG. 1).

Abstract: Apparatus including: a unit detecting a motion vector, among plural number of fields included in motion pictures, or fields, produced from the plural number of fields; a unit for converting the motion pictures into light-emission data for sub-fields; a unit for reconstructing the light-emission data for sub-fields, via calculating using the motion vector; and a unit for displaying the picture using the light-emission data outputted from the sub-field reconstruction unit, wherein the sub-field reconstruction unit selects the motion vector ending at a reconstruction target pixel of other one (1) field, among the motion vectors detected by the motion vector detection unit, and calculates a position vector, by multiplying a predetermined function onto this, and thereby reconstructing light-emission data for one (1) sub-field of the reconstruction target pixel, using the light-emission data for sub-fields corresponding to the one (1) sub-fields within the pixel, which is indicated by the position vector.

Abstract: A sub-field lighting image display apparatus according to the present invention improves a dynamic false contour, motion judder, and the like occurring when displaying an image to which frame rate conversion is applied. A frame rate conversion section converts a frame rate for an input image. A motion vector detection section detects motion vector V0 between frames in the input image and finds motion vector V after the frame rate conversion based on the detected motion vector V0. When the frame rate conversion section repeatedly outputs the input image as an interpolation image, a motion vector correction section corrects the motion vector V to V1 using V1=V×?, where 0??<1. A sub-field conversion section converts each frame into luminescent data for multiple sub-fields. A sub-field correction section relocates the luminescent data for the sub-fields using the corrected motion vector V1.

Abstract: It is possible to better correct dynamic false contours in gradation display made by dividing each field into plural subfields. A motion vector detection section detects a motion vector extending between pixels mutually corresponding between two mutually neighboring fields. A pixel position changing section calculates a pixel position vector indicating from where to acquire data for use in rearranging emission data by multiplying a motion vector ending at a pixel to be rearranged by a predetermined function. Furthermore, when a brightness difference between the pixel from which data is to be acquired and the pixel to be rearranged is larger than a threshold value, the pixel position changing section corrects the calculated pixel position vector to change the pixel indicated thereby to one closer to the pixel to be rearranged until the brightness difference is equal to or smaller than the threshold value.

Abstract: In an image converting apparatus, when a count value of a time period counter is equal to “1”, a motion vector rate converting unit reads out a first coefficient “KAn” from a motion vector conversion table. While the read first coefficient “KAn” is employed, the motion vector rate converting unit performs a calculating process operation (MVx=MVn×KAn) for converting rates with respect to a motion vector “MVn” of 50 Hz detected by a motion vector detecting unit in a previous step so as to acquire a motion vector “MVx” of 60 Hz. When the motion vector “MVx” is outputted from the motion vector rate converting unit, an image correcting unit performs an image correcting process operation in accordance with a predetermined algorithm by employing the motion vector “MVx” with respect to a picture signal of 60 Hz outputted from an image rate converting unit.

Abstract: According to the present invention, it is possible to carry out the optimum correction of moving images in the frame even if the movement of objects in the frame is not uniform in a subfield light-emitting type display. The motion vector detecting module detects the motion vector of pixels among the frames relating to the input image signal. The motion vector correcting module replaces the motion vectors V of all the pixels in the frame with a specific motion vector Vm, when the distribution of the motion vectors V in the frame detected is biased to the specific motion vector Vm. The subfield correcting module corrects the light-emitting positions of the subfield light-emitting pattern according to the motion vectors outputted by the motion vector correcting module.

Abstract: A video displaying apparatus, for suppressing a blur of moving picture, or dynamic false contour, from generation thereof, comprises: an input unit for inputting a motion picture; a motion vector detection unit for detecting a motion vector starting from a pixel of one (1) field and ending at a pixel of other one (1) field, among a plural number of fields included in the motion pictures, which are inputted into said input unit, or fields, which are produced from said plural number of fields; a sub-field conversion unit for converting the motion pictures, which are inputted to said input unit, into light-emission data for sub-fields; a sub-field reconstruction unit for reconstructing the light-emission data for sub-fields, which is outputted from said sub-field conversion unit, through a calculating process with using the motion vector, which is detected by said motion vector detection unit; and a display unit for displaying the picture with using the light-emission data, which is outputted from said sub-field

Abstract: For achieving a video display of high picture quality, a video signal processing method comprises the following steps of: a step for produce a sub-field light-ON pattern signal for controlling light-ON or -OFF at a pixel, during said plural number of sub-field periods, depending a pixel value of the pixel in the input video; and a signal correcting step for correcting said sub-field light-ON pattern signal, with using a motion vector obtained through a motion vector search, which is conducted on a first frame in said input video and a second frame, time-sequentially prior to said first frame, wherein said sub-field light-ON pattern signal has light-ON pattern signal for each pixel during each of the sub-field periods between said second frame and said first frame, and said signal correcting step determines the light-ON pattern information of one pixel during one sub-field period, with using a motion vector passing said one pixel within said sub-field among said motion vectors, while determining light-ON patte

Abstract: Blood sugar levels are measured non-invasively based on temperature measurement. Non-invasively measured blood sugar level values obtained by a temperature measurement scheme are corrected by blood oxygen saturation and blood flow volume, thereby stabilizing the measurement data.