Abstract: The image processing apparatus includes: an input unit configured to receive input of a plurality of images; an alignment unit configured to select each of the plurality of images one by one as a base image, and aligns the base image and each of comparison images; a selection unit configured to select the comparison image to be combined with the base image from among the comparison images aligned with the base image for each of the base images, calculate a common region in which images included in the combination can be commonly drawn, and select the combination in which the ratio of the common region to the base image satisfies a predetermined condition; a determination unit configured to determine the combination that maximizes the number of comparison images from the selected combination; and an output unit configured to output an image group corresponding to the determined combination.

Abstract: The image processing apparatus includes: an input unit configured to receive input of a plurality of images; an alignment unit configured to select each of the plurality of images one by one as a base image, and aligns the base image and each of comparison images; a selection unit configured to select the comparison image to be combined with the base image from among the comparison images aligned with the base image for each of the base images, calculate a common region in which images included in the combination can be commonly drawn, and select the combination in which the ratio of the common region to the base image satisfies a predetermined condition; a determination unit configured to determine the combination that maximizes the number of comparison images from the selected combination; and an output unit configured to output an image group corresponding to the determined combination.

Abstract: An image processing apparatus includes: an alignment unit configured to perform alignment for a group of images including a plurality of short-time-exposure images that are captured with a first exposure time and a long-time-exposure image that is captured with a second exposure time that is longer than the first exposure time; and an output unit configured to output the long-time-exposure image in a case where the long-time-exposure image satisfies a predetermined condition and configured to output a composite image which is generated by compositing a plurality of images selected from among the plurality of short-time-exposure images, in a case where the long-time-exposure image does not satisfy the predetermined condition.

Abstract: An image processing device for stitching a plurality of input images together so as to generate a panoramic composite image is provided. An imaging control section sets a guide for photographing a photographing subject from different imaging directions as a guide information for obtaining a plurality of input images suitable for the image composition. A guide display setting section displays a photographing guide image based on the guide information. A user rotates a camera while checking the guide image and captures the plurality of input images from different imaging directions. An image compositing section stitches the plurality of input images together so as to generate a composite image.

Abstract: An image processing apparatus for obtaining an output image by performing a filter processing of an input image, includes a setting unit configured to set a plurality of local regions in the input image, a deriving unit configured to derive a plurality of coefficients corresponding to each of the plurality of local regions based on statistics indicating variations in pixel values in the plurality of local regions, and a filter processing unit configured to obtain an output pixel value by performing a liner transformation of the input image based on the plurality of the coefficients, wherein the plurality of local regions include a region that is partitioned diagonally to a raster scan direction; wherein the filter processing unit performs the liner transformation of the input image based on a coefficient adaptively selected from the plurality of coefficients.

Abstract: The image generation apparatus includes: an acquisition unit configured to acquire a base image, a reference image, the respective exposure values associated with the base image and the reference image, and a pseudo-exposure value different from the respective exposure values associated with the base image and the reference image; an estimation unit configured to estimate a conversion parameter; and a generation unit configured to generate a pseudo-image regarded as an image photographed with the pseudo-exposure value by converting the luminance value of the base image for each of the pixels based on the respective exposure values associated with the base image and the reference image, the pseudo-exposure value, and the conversion parameter.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for shape detection are disclosed. In one aspect, a method includes the actions of generating a shape model that includes a predetermined shape with a predetermined scale and predetermined orientation. The actions further include receiving an image. The actions further include identifying edges that are parallel to the side of the shape model and that are a predetermined distance from the side of the shape model. The actions further include selecting a plurality of edges that likely correspond to edges of a shape that is similar to the shape model. The actions further include determining a fit score between the plurality of edges and each shape of a plurality of shapes that are similar to the shape model. The actions further include identifying a particular shape in the image that most closely fits the shape model.

Abstract: An image identification apparatus includes an acquisition unit configured to acquire an input image, a classification unit configured to calculate a classification score of the input image based on a neural network having a weight coefficient in each layer determined to calculate the classification score indicating a degree of similarity between a training image and an image to be processed, an anomaly determination unit configured to calculate an anomaly score of the input image based on a function approximator constructed by machine learning based on the training image of correct answer, and an identification unit configured to classify the input image into a good image having a high degree of similarity to the training image of the correct answer or a bad image having low degree of similarity to the training image of correct answer based on the classification score and the anomaly score.

Abstract: Disclosed is a method of forming a security document including the steps of: providing a base layer having a top side; providing a color image onto an image area of the top side by printing colored ink, on the top. A lens structure is applied over the colored ink, the lens structure having a predetermined focal plane situated at a distance from the top side, and laser engraving a black image in through the lens structure and through the colored ink to form blackened image elements substantially at or near the focal plane.

Abstract: The present disclosure can obtain a high-quality composite image by determining a suitable boundary when input images are sequentially stitched together to generate the composite image. An image generating apparatus 1 generates a composite image by stitching sequentially input images together. A difference value calculating section 15 calculates difference values by using the pixel values of a reference image and the pixel values of a target image that partly overlap the reference image. The difference values represent the relative relationship between the reference image and the target image. A boundary determining section 16 determines a boundary for stitching the reference image and the target image together by using the difference values calculated by the difference value calculating section 15. Then, an image compositing section 18 generates the composite image by stitching the reference image and the target image together based on the boundary determined by the boundary determining section 16.

Abstract: An imaging system includes a conveyor duct including a first wall and an opposing second wall, a gantry coupled to one end of the conveyor duct, an imaging assembly associated with the gantry, and a conveyor assembly coupled to the conveyor duct. The conveyor assembly includes a first rail coupled to the first wall of the conveyor duct and a second rail coupled to the second wall of the conveyor duct, the first rail and the second rail defining a channel therebetween. The imaging system also includes a tray including a base, wherein the conveyor assembly is configured to transport the tray into the gantry, and wherein the base of the tray extends between and below the first rail and the second rail when the conveyor assembly is transporting the tray.

Abstract: It is an object of the present disclosure to enable displaying information on unused area of an input image while displaying an enlarged image of the input image An image processing device includes a specified area setting part configured to set a specified area in an input image, an additional information setting part configured to set additional information on at least a part of non-specified area which is an area in the input image other than the specified area, and a display control part configured to display the specified area and the additional information on the display as an output image. The user can view the image of the specified area and the additional information at the same time. Therefore, the device can utilize the information of the input image more effectively.

Abstract: A system for implementing an electrical rotary joint in a large-diameter system using relatively small-diameter capsule slip rings is described herein. The system includes a system rotor that rotates about a system axis of rotation, and a system stator that is stationary with respect to the system rotor. The system also includes at least one conductive contact channel disposed on one of the system rotor and the system stator. The system further includes at least one capsule slip ring (CSR) coupled to the other of the system rotor and the system stator. The at least one CSR has a conductive annular element coupled thereto, the conductive annular element in mechanical contact with the at least one conductive contact channel such that the at least one CSR forms an electrical rotary joint between the system rotor and the system stator.

Abstract: A radiation detector includes a housing configured to contain a volume of water, the housing including an interior surface adjacent a first portion of the water having a first net charge. The radiation detector also includes a first electrode coupled to the housing within the first portion of the water, and a second electrode coupled to the housing within a second portion of the water adjacent the first portion of the water. The radiation detector further includes a current detector connected in series between the first electrode and the second electrode, the current detector configured to detect a current associated with an ionized radiation product that enters the housing.

Abstract: In general, one innovative aspect of the subject matter described in this specification may be embodied in methods that include verifying a digital identification using visual indicators displayed to an authorized user. For instance, the visual indicators may be a set of graphical representations that are variably selected to be displayed on the digital identification. The visual indicator information may be provided to the authorized user to enable verification of the digital identification without any additional detector devices.

Abstract: An image processing device is provided. The image processing device includes: a tracking area setting section that sets a tracking area in a frame image of an original motion picture; a color information obtaining section that obtains color information of the tracking area set by the tracking area setting section; a tracking position estimating section that estimates a tracking position with reference to the tracking area with respect to each frame image of the original motion picture by using the color information obtained by the color information obtaining section; an output frame setting section that sets an output frame enclosing the tracking area set by the tracking area setting section and that updates the output frame based on the estimated tracking position; and a lock-on motion picture generating section that generates a motion picture that is based on the output frame.

Abstract: A detector assembly for a CT imaging system is provided. The detector assembly including a scintillator block including a plurality of pixels, each pixel configured to receive x-ray beams travelling in a transmission direction, a plurality of photodiodes, and a light guide coupled between the scintillator block and the plurality of photodiodes, the light guide including a plurality of light pipes, each light pipe configured to guide light emitted from a pixel of the plurality of pixels into an associated photodiode of the plurality of photodiodes, wherein each pixel has a first cross-sectional area that is substantially perpendicular to the transmission direction, wherein each photodiode has a second cross-sectional area that is substantially perpendicular to the transmission direction, and wherein the first cross-sectional area is different from the second cross-sectional area.

Abstract: A luggage detection device is configured to detect luggage by generating computed tomography (CT) imaging slices. For each of the CT imaging slices, the luggage detection device is configured to identify at least one region within the CT imaging slice for removal based on at least one predefined rule, to remove pixel data associated with the at least one identified region within the CT imaging slice, to generate a pixel count representing a number of pixels in the modified CT imaging slice that include a value above a threshold pixel value, and to generate an object indicator based on a determination that the generated pixel count is above a threshold pixel count. The luggage detection device is further configured to display at least one of the plurality of CT image slices based on the presence of the corresponding baggage indicator.

Abstract: A compression device for compressing image data generated by a computed tomography (CT) imaging system is described herein. The compression device is configured to compress the image data by implementing a method including receiving image data from the CT imaging system and requantizing the image data in a square root domain. The method further includes identifying a group of projections (GOP) in the image data, including a first projection and a plurality of subsequent projections, and performing spatial-delta encoding on the first projection and temporal-delta encoding on each of the plurality of subsequent projections. The method also includes identifying a signed value in the GOP, and converting the signed value to an unsigned value. The method further includes entropy coding the image data in the GOP, and packetizing the GOP for transmission or storage.

Abstract: An image correction method includes: estimating a 3D model of an object as when an imaging device takes an image of the object; calculating the light intensity of each point of a simulated image as it would be taken by the imaging device, using the estimated 3D model of the object, a model of illumination of the object illuminated by a lighting system that illuminates the object, a model of reflection on a surface of the object, and a model of the imaging device, to obtain a simulated image of the object; and correcting the taken image by modifying the light intensity of each point on the taken image or on at least one area of interest of the taken image, according to the light intensity of the corresponding point in the simulated image or the respective light intensities of points adjacent to the corresponding point in the simulated image.