Abstract: An electronic endoscope system includes an electronic endoscope, a processor that includes an evaluation unit, and a monitor. The evaluation unit includes an image evaluation value calculation unit that calculates an image evaluation value indicating an intensity of lesion in the living tissue for each of a plurality of images of the living tissue, and a lesion evaluation unit that calculates a representative evaluation value of the image evaluation value from the image evaluation values of the plurality of images corresponding to a plurality of sections for each of the plurality of sections in which a region of the organ is divided using information of an imaging position in the organ whose image is captured and evaluates an extent of the lesion in a depth direction inside the organ using the representative evaluation value.

Abstract: An electronic endoscope processor includes a converting means for converting each piece of pixel data that is made up of n (n?3) types of color components and constitutes a color image of a biological tissue in a body cavity into a piece of pixel data that is made up of m (m?2) types of color components, m being smaller than n; an evaluation value calculating means for calculating, for each pixel of the color image, an evaluation value related to a target illness based on the converted pieces of pixel data that are made up of m types of color components; and a lesion index calculating means for calculating a lesion index for each of a plurality of types of lesions related to the target illness based on the evaluation values calculated for the pixels of the color image.

Abstract: An electronic endoscope processor includes a converting means for converting each piece of pixel data that is made up of n (n?3) types of color components and constitutes a color image of a biological tissue in a body cavity into a piece of pixel data that is made up of m (m?2) types of color components, m being smaller than n; an evaluation value calculating means for calculating, for each pixel of the color image, an evaluation value related to a target illness based on the converted pieces of pixel data that are made up of m types of color components; and a lesion index calculating means for calculating a lesion index for each of a plurality of types of lesions related to the target illness based on the evaluation values calculated for the pixels of the color image.

Abstract: An electronic endoscope processor includes a converting means for converting each piece of pixel data that is made up of n (n?3) types of color components and constitutes a color image of a biological tissue in a body cavity into a piece of pixel data that is made up of m (m?2) types of color components, m being smaller than n; an evaluation value calculating means for calculating, for each pixel of the color image, an evaluation value related to a target illness based on the converted pieces of pixel data that are made up of m types of color components; and a lesion index calculating means for calculating a lesion index for each of a plurality of types of lesions related to the target illness based on the evaluation values calculated for the pixels of the color image.

Abstract: An electronic endoscope system includes an electronic endoscope, a processor that includes an evaluation unit, and a monitor. The evaluation unit includes an image evaluation value calculation unit that calculates an image evaluation value indicating an intensity of lesion in the living tissue for each of a plurality of images of the living tissue, and a lesion evaluation unit that calculates a representative evaluation value of the image evaluation value from the image evaluation values of the plurality of images corresponding to a plurality of sections for each of the plurality of sections in which a region of the organ is divided using information of an imaging position in the organ whose image is captured and evaluates an extent of the lesion in a depth direction inside the organ using the representative evaluation value.

Abstract: An electronic endoscope processor has a configuration including: a converting means for converting pieces of pixel data that are made up of n (n?3) types of color components and constitute a color image in a body cavity into pieces of pixel data that are made up of m (m?2) types of color components, m being smaller than n; a color component correcting means for correcting the converted pieces of pixel data made up of m types of color components with use of a predetermined color component correction coefficient; and an acquiring means for acquiring an evaluation result related to a target illness based on the corrected pieces of pixel data made up of m types of color components.

Abstract: An electronic endoscope processor includes: a converting means for converting each of a plurality of pieces of pixel data that are made up of n (n?3) types of color components and constitute a color image of a biological tissue in a body cavity into a piece of pixel data that is made up of m (m?2) types of color components, m being smaller than n; a correlation value calculating means for setting a reference axis that is related to a target illness and, for each pixel of the color image, calculating a correlation value with a predetermined reference that is related to the target illness; and an evaluation value calculating means for integrating the correlation values calculated for the pixels and setting a sum of the correlation value obtained by the integrating as an evaluation value that is related to the target illness.

Abstract: An image processing apparatus has an image data obtaining means configured to obtain image data acquired by photographing biological tissue, a score calculating means configured to calculate a score representing severity degree of lesion of the biological tissue photographed in an image represented by the image data for each pixel based on the image data, a reliability evaluation means configured to evaluate reliability of the score based on the image data, and a score reliability calculating means configured to calculate score reliability which represents a ratio of pixels of which scores having predetermined reliability to all the pixels of the image data.

Abstract: Provided is a correction data generation method that includes acquiring captured image data by imaging an indicator that is related to a predetermined illness; plotting a real imaging data point that corresponds to the acquired captured image data in a predetermined color space that is associated with the predetermined illness in accordance with a color component of the data point; calculating a correction value for correcting the values of pixels that make up a captured image captured by an electronic endoscope based on the distance between the data point and a predetermined target point in the predetermined color space; and storing the calculated correction value.

Abstract: An electronic endoscope processor includes: a converting means for converting each of a plurality of pieces of pixel data that are made up of n (n?3) types of color components and constitute a color image of a biological tissue in a body cavity into a piece of pixel data that is made up of m (m?2) types of color components, m being smaller than n; a correlation value calculating means for setting a reference axis that is related to a target illness and, for each pixel of the color image, calculating a correlation value with a predetermined reference that is related to the target illness; and an evaluation value calculating means for integrating the correlation values calculated for the pixels and setting a sum of the correlation value obtained by the integrating as an evaluation value that is related to the target illness.

Abstract: An electronic endoscope processor has a configuration including: a converting means for converting pieces of pixel data that are made up of n (n?3) types of color components and constitute a color image in a body cavity into pieces of pixel data that are made up of m (m?2) types of color components, m being smaller than n; a color component correcting means for correcting the converted pieces of pixel data made up of m types of color components with use of a predetermined color component correction coefficient; and an acquiring means for acquiring an evaluation result related to a target illness based on the corrected pieces of pixel data made up of m types of color components.

Abstract: An electronic endoscope processor includes a converting means for converting each piece of pixel data that is made up of n (n?3) types of color components and constitutes a color image of a biological tissue in a body cavity into a piece of pixel data that is made up of m (m?2) types of color components, m being smaller than n; an evaluation value calculating means for calculating, for each pixel of the color image, an evaluation value related to a target illness based on the converted pieces of pixel data that are made up of m types of color components; and a lesion index calculating means for calculating a lesion index for each of a plurality of types of lesions related to the target illness based on the evaluation values calculated for the pixels of the color image.

Abstract: An image processing apparatus has a color image obtaining means configured obtain color image data representing a color image of biographic tissues, a lesion determining means configured to determine whether each pixel of the color image is of a lesion part based on the color image data, and a marking means configured to apply a mark indicating a position of the lesion part on the color image based on a result of determination, and the mark is configured such that the color image at a background of the mark can be seen.

Abstract: Provided is a correction data generation method that includes acquiring captured image data by imaging an indicator that is related to a predetermined illness; plotting a real imaging data point that corresponds to the acquired captured image data in a predetermined color space that is associated with the predetermined illness in accordance with a color component of the data point; calculating a correction value for correcting the values of pixels that make up a captured image captured by an electronic endoscope based on the distance between the data point and a predetermined target point in the predetermined color space; and storing the calculated correction value.

Abstract: An image processing includes multiple pieces of image data capturing biological tissues, a scene determining device configured to determine a photographic scene based on the color moving image data, a score calculating device calculating a score indicative of seriousness of lesion of the biological tissues captured in the image represented by the image data, based on the image data, and a marking device applying marks indicative of a distribution of the scores on the image. The marking device executes a detailed marking process to apply the marks indicating the distribution of the scores in detail, and a simple marking process to apply the marks indicating the distribution of the scores in a manner simpler than the detailed marking process. The marking means executes one of the detailed marking process and the simple marking process in accordance with the result of determination of the photographic scene.

Abstract: An image processing apparatus has a color image obtaining means configured obtain color image data representing a color image of biographic tissues, a lesion determining means configured to determine whether each pixel of the color image is of a lesion part based on the color image data, and a marking means configured to apply a mark indicating a position of the lesion part on the color image based on a result of determination, and the mark is configured such that the color image at a background of the mark can be seen.

Abstract: An image processing apparatus has an image data obtaining means configured to obtain image data acquired by photographing biological tissue, a score calculating means configured to calculate a score representing severity degree of lesion of the biological tissue photographed in an image represented by the image data for each pixel based on the image data, a reliability evaluation means configured to evaluate reliability of the score based on the image data, and a score reliability calculating means configured to calculate score reliability which represents a ratio of pixels of which scores having predetermined reliability to all the pixels of the image data.

Abstract: A lesion evaluation information generator including a processor configured to, when executing processor-executable instructions stored in a memory, determine a hue value and a saturation value of each of pixels of an endoscopic image based on an acquired endoscopic color image data, determine, for at least a part of the pixels of the endoscopic image, a correlation value between color information of each individual pixel and reference color data, based on a hue correlation value between the hue value of each individual pixel and a reference hue value of the reference color data, and a saturation correlation value between the saturation value of each individual pixel and a reference saturation value of the reference color data, and generate an evaluation value for evaluating a severity of a lesion in the endoscopic image, by integrating the correlation value of each individual pixel.

Abstract: An image processing device, comprising an obtaining means that obtains color endoscopic image data, a color space conversion means that converts a color space of the color endoscopic image data to an HSI color space based on hue, saturation and intensity or an HSV color space based hue, saturation and a value, a lesion pixel judgment means that judges, for each of pixels constituting a color endoscopic image, whether or not each pixel is a lesion portion based on the hue and the saturation, an overlay processing means that executes an overlay process which changes a color of the pixel judged to be the lesion portion by the lesion pixel judgment means, and an overlay image display means that displays an overlay image obtained by subjecting the color endoscopic image to the overlay process.

Abstract: An image processing device, comprising an obtaining means that obtains color endoscopic image data, a color space conversion means that converts a color space of the color endoscopic image data to an HSI color space based on hue, saturation and intensity or an HSV color space based hue, saturation and a value, a lesion pixel judgment means that judges, for each of pixels constituting a color endoscopic image, whether or not each pixel is a lesion portion based on the hue and the saturation, an overlay processing means that executes an overlay process which changes a color of the pixel judged to be the lesion portion by the lesion pixel judgment means, and an overlay image display means that displays an overlay image obtained by subjecting the color endoscopic image to the overlay process.