Abstract: A data processing system includes: a neural network processing unit that performs a process determined by a neural network including an input layer, one or more intermediate layers, and an output layer; and a learning unit that trains the neural network by optimizing an optimization parameter of the neural network based on a comparison between output data output when the neural network processing unit subjects learning data to the process determined by the neural network and ideal output data for the learning data. The neural network processing unit performs, in a learning process, a coefficient process of multiplying intermediate data representing input data input to an intermediate layer element constituting the intermediate layer of an M-th layer (M is an integer equal to or larger than 1) or representing output data from the intermediate layer element by a coefficient the absolute value of which increases monotonically in accordance with progress of learning.

Abstract: A data processing system includes: a processor including hardware, wherein the processor performs a process determined by a neural network. An optimization parameter of the neural network is optimized based on a comparison between output data output when learning data is subject to the process and ideal output data for the learning data.

Abstract: A data processing system includes: a neural network processing unit that performs processing based on a neural network including an input layer, at least one intermediate layer, and an output layer; and a learning unit that optimizes an optimization target parameter in the neural network, based on a comparison between output data output after the neural network processing unit performs processing on learning data based on the neural network and ideal output data for the learning data.

Abstract: An image processing device includes a processor including hardware, the processor being configured to: acquire an input image; detect an arc curve in the input image; determine a change in a luminance of a pixel in a direction from an inner side toward an outer side of the arc curve; detect, as a representative bubble region, a region including the arc curve involving a change determined to be an increase in the luminance in the direction from the inner side toward the outer side; and extract a bubble region, based on the representative bubble region.

Abstract: A data processing system includes a learning unit that optimizes an optimization target parameter of a neural network on the basis of a comparison between output data that is output by execution of a process according to a neural network on learning data and ideal output data for the learning data. The learning unit optimizes a slope ratio parameter indicating a ratio of a slope when an input value is in a positive range and a slope when the input value is in a negative range in an activation function of the neural network, as one of optimization parameters.

Abstract: A data processing system includes a learning unit that optimizes optimization target parameters of a neural network on the basis of a comparison between output data that is output by execution of a process according to a neural network on learning data and ideal output data for the learning data. An activation function f(x) of the neural network is defined, when a first parameter is C and a second parameter being a non-negative value is W, as a function in which an output value for an input value is a value continuous within a range of C±W, the output value for the input value is uniquely determined, and a graph of the function is point-symmetric with respect to a point corresponding to f(x)=C. The learning unit optimizes the optimization target parameters that include the first parameter and the second parameter.

Abstract: An image processing apparatus includes a processor to: sequentially acquire plural subject images; select a detection target image from the plural subject images; detect the location of interest in the detection target image; generate spatial information of a superimposed object indicating the location of interest on one of the plural subject images; select a superimposition target image to be superimposed, from the plural subject images; generate inter-image correspondence information between the detection target image and the superimposition target image; correct the spatial information of the superimposed object, based on the inter-image correspondence information; and superimpose the superimposed object on the superimposition target image.

Abstract: An image processing apparatus includes a processor to: sequentially acquire plural subject images; select a detection target image from the plural subject images; detect the location of interest in the detection target image; generate spatial information of a superimposed object indicating the location of interest on one of the plural subject images; select a superimposition target image to be superimposed, from the plural subject images; generate inter-image correspondence information between the detection target image and the superimposition target image; correct the spatial information of the superimposed object, based on the inter-image correspondence information; and superimpose the superimposed object on the superimposition target image.

Abstract: An endoscope image processing apparatus comprising a processor comprising hardware.

Abstract: An image processing device includes: a reference image selector configured to select one image of an image group as a reference image; a processing target image selector configured to select, as a processing target image, each of images of the image group other than the reference image; an arrangement order setting unit configured to set arrangement order of the images included in the image group; a conversion information estimation unit configured to estimate conversion information between the images adjacent to each other; a deformed image creation unit configured to create a deformed image by subjecting the processing target image to an image conversion using the conversion information cumulatively from the processing target image to the reference image in the arrangement order; and a color image creation unit configured to create a color image using the deformed images created based on the respective images and the reference image.

Abstract: An image processing device including an image sequence acquisition section that acquires an image sequence that includes a plurality of images; and a processing section that performs an image summarization process that deletes some of the plurality of images included in the image sequence acquired by the image sequence acquisition section to acquire a summary image sequence. The processing section detecting a scene change from the image sequence, setting a partial image sequence that includes images among the plurality of images included in the image sequence based on the detected scene change, selecting a reference image and a determination target image from the partial image sequence, and determining whether or not the determination target image can be deleted based on deformation information about the reference image and the determination target image.

Abstract: An image processing device includes a processor including hardware, the processor being configured to: acquire an input image; detect an arc curve in the input image; determine a change in a luminance of a pixel in a direction from an inner side toward an outer side of the arc curve; detect, as a representative bubble region, a region including the arc curve involving a change determined to be an increase in the luminance in the direction from the inner side toward the outer side; and extract a bubble region, based on the representative bubble region.

Abstract: An image processing device including an image sequence acquisition section that acquires an image sequence that includes a plurality of images; and a processing section that performs an image summarization process that deletes some of the plurality of images included in the image sequence acquired by the image sequence acquisition section to acquire a summary image sequence. The processing section detecting a scene change from the image sequence, setting a partial image sequence that includes images among the plurality of images included in the image sequence based on the detected scene change, selecting a reference image and a determination target image from the partial image sequence, and determining whether or not the determination target image can be deleted based on deformation information about the reference image and the determination target image.

Abstract: An image processing device includes an image sequence acquisition section that acquires an image sequence that includes a plurality of images, and a processing section that performs an image summarization process that deletes some of the plurality of images included in the image sequence acquired by the image sequence acquisition section to acquire a summary image sequence, the processing section selecting a reference image and a determination target image from the plurality of images, and determining whether or not the determination target image can be deleted based on the results of a process that utilizes deformation information about the reference image and the determination target image, and a process that utilizes a structural element that corresponds to an attention area.

Abstract: An image processing device includes: an image sequence acquisition section that acquires an image sequence that includes a plurality of constituent images; and a processing section that performs an image summarization process that deletes some of the plurality of constituent images included in the image sequence to generate a summary image sequence, the processing section detecting an observation target area from each of the plurality of constituent images, selecting a reference image and a determination target image from the plurality of constituent images, calculating deformation information about a deformation estimation target area included in the reference image and the deformation estimation target area included in the determination target image, and determining whether or not the determination target image can be deleted based on the observation target area included in the reference image, the observation target area included in the determination target image, and the deformation information.

Abstract: An image sequence acquisition section acquires an image sequence including a plurality of images. A processing section performs an image summarization process that acquires a summary image sequence based on first and second deletion determination processes that delete some of the images included in the acquired image sequence. The processing section sets an attention image sequence including one at least one attention image included in the plurality of images, selects a first reference image from the attention image sequence, selects a first determination target image from the plurality of images, and performs the first deletion determination process that determines whether the first determination target image can be deleted based on first deformation information that represents deformation between the first reference image and the first determination target image.

Abstract: An image processing device includes an image sequence acquisition section that acquires an image sequence that includes a plurality of constituent images, and a processing section that performs an image summarization process that deletes some of the plurality of constituent images included in the image sequence to generate a summary image sequence, the processing section selecting a reference image and a determination target image from the plurality of constituent images, detecting an unnecessary area from the determination target image, calculating a loss area based on deformation information about the reference image and the determination target image, and the unnecessary area, the loss area being an area that is lost when the determination target image is deleted, and determining whether or not the determination target image can be deleted based on the calculated loss area.

Abstract: An image processing device includes: a reference image selector configured to select one image of an image group as a reference image; a processing target image selector configured to select, as a processing target image, each of images of the image group other than the reference image; an arrangement order setting unit configured to set arrangement order of the images included in the image group; a conversion information estimation unit configured to estimate conversion information between the images adjacent to each other; a deformed image creation unit configured to create a deformed image by subjecting the processing target image to an image conversion using the conversion information cumulatively from the processing target image to the reference image in the arrangement order; and a color image creation unit configured to create a color image using the deformed images created based on the respective images and the reference image.

Abstract: An image processing device includes an image sequence acquisition section that acquires an image sequence that includes a plurality of images, and a processing section that performs an image summarization process that deletes some of the plurality of images included in the acquired image sequence to acquire a summary image sequence, the processing section selecting a reference image and a determination target image from the plurality of images, calculating a coverage ratio of the determination target image by the reference image based on deformation information about the reference image and the determination target image, and determining whether or not the determination target image can be deleted based on the coverage ratio.

Abstract: An image sequence acquisition section acquires an image sequence including a plurality of images. A processing section performs an image summarization process that acquires a summary image sequence based on first and second deletion determination processes that delete some of the images included in the acquired image sequence. The processing section sets an attention image sequence including one at least one attention image included in the plurality of images, selects a first reference image from the attention image sequence, selects a first determination target image from the plurality of images, and performs the first deletion determination process that determines whether the first determination target image can be deleted based on first deformation information that represents deformation between the first reference image and the first determination target image.