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 system includes an image processing unit that uses a numerical value to evaluate an appearance feature appearing in a biological tissue by using an images captured by an electronic endoscope. The image processing unit calculates a first pixel evaluation value indicating a degree of a first feature, which is featured by a first color component or a first shape appearing in an attention area in the biological tissue, and which relates to the first color component or the first shape, for each pixel from the image, and calculates a first representative evaluation value relating to the first feature by integrating the first pixel evaluation value. Furthermore, the image processing unit evaluates a degree of a second feature that shares the first color component or the first shape with the first feature.

Abstract: An electronic endoscope system includes an electronic endoscope, a processor that includes an evaluation unit, and a monitor. The evaluation unit includes an evaluation value calculation unit that calculates a lesion evaluation value indicating the intensity of lesion in the living tissue in each of the images, an imaging position information acquisition unit that acquires information on the imaging position of each image, a lesion position calculation unit that determines the presence or absence of the lesion based on whether the lesion evaluation value exceeds a predetermined threshold and obtains a start position and an end position of a region of a lesion portion, and an organ lesion evaluation unit that evaluates a degree of lesion in the organ using a length of the lesion portion calculated from the start position and the end position and a representative value of the lesion evaluation value.

Abstract: An endoscope system processor includes: a blood vessel region determination unit that obtains a likelihood of a blood vessel region by a numerical value on the basis of a shape characterizing a blood vessel in each of a plurality of parts of an image of a biological tissue, from the image obtained by an electronic endoscope; and a blood vessel feature amount calculation unit that calculates a blood vessel feature amount indicating a feature amount of the blood vessel region by integrating the numerical values of the likelihood of the blood vessel region with each other in the entire image. The blood vessel region determination unit calculates an approximation degree as the likelihood of the blood vessel region, using a spatial filter.

Abstract: An endoscope processor or the like is provided which has a high ability to detect lesions. The endoscope processor includes an image acquisition unit that acquires a captured image taken by an endoscope, a first image processing unit that generates a first processed image based on the captured image acquired by the image acquisition unit, a second image processing unit that generates a second processed image based on the captured image, and an output unit that outputs an acquired disease status using a learning model, which outputs a disease status, when the first processed image generated by the first image processing unit and the second processed image generated by the second image processing unit are input.

Abstract: A processor for an electronic endoscope includes an enhancement processing unit that includes: a depth data generation unit configured to generate depth data D of the entire captured image by generating, a data value representing information on a depth of a concave portion of the living tissue in each pixel; an undulation-enhanced data generation unit configured to generate a value of undulation-enhanced data S, which has information with a steeply inclined change of a signal level value at a boundary between a concave portion and a convex portion of surface irregularities of the living tissue, from the depth data D; and an enhancement processing execution unit that generates an enhanced image by adding or subtracting at least a value to or from a signal level value of the processing target pixel on which the enhancement processing of the captured image is performed.

Abstract: An endoscope system includes an image processing unit obtaining a severity of a lesion of a biological tissue in which a degree of lesion is digitized, from an image of the biological tissue that is obtained by imaging the biological tissue in a body cavity. The image processing unit includes a feature amount calculation unit calculating a plurality of pixel evaluation values corresponding to a plurality of features of an appearance, which are capable of discriminating each of the plurality of features of the appearance from a feature of a normal portion of the biological tissue by a shape and indicate each degree of plurality of features relevant to the color component indicated by the lesion portion or the color component and the shape, a representative value calculation unit calculating a representative evaluation value corresponding to each of the plurality of features of the imaged biological tissue.

Abstract: An electronic endoscope system includes: an electronic endoscope including an image sensor that images a living tissue; a processor that performs image processing on an image obtained by imaging the living tissue; and a display that displays the image on which image processing has been performed. The processor includes: a feature amount calculation unit that calculates, as a feature amount, a ratio between differences of values of two color signals out of a plurality of color signals of each of pixels of the image from a reference value; and an image enhancement processing unit that enhances the image by determining a degree of increase or decrease of at least one of the values of the two color signals on the basis of the calculated ratio so as to perform enhancement processing on the image.

Abstract: An endoscope system, includes a light source device that emits illumination light to an object, an image obtaining part that captures light reflected at the object by an image pickup element and thereby obtains a color image including at least three color components, and an evaluation part that obtains, for each of pixels constituting the color image obtained by the image obtaining part, an evaluation result concerning a target disease based on an angle, in a color plane being defined by at least two of the at least three color components, formed between a line segment, which connects a predetermined reference point positioned on the color plane with a corresponding pixel point allocated corresponding to the each of the pixels in the color plane, and a reference axis having a correlation with the target disease. The reference axis is set to pass through the predetermined reference point.

Abstract: Provided are an image processing apparatus and an electronic endoscope system that can acquire an observation image that is natural overall and has excellent visibility, while highlighting characteristic parts such as affected parts and parts that are to be examined. A normal observation image captured using normal light and a narrow-band observation image captured using narrow-band light that has a bandwidth narrower than that of normal light are input to the observation image input unit. A characteristic part extraction unit extracts a characteristic part that is included in a narrow-band observation image. A highlight display unit displays a single image in which a part of the normal observation image, the part corresponding to a characteristic part that is included in the narrow-band observation image, is highlighted using the characteristic part.

Abstract: An endoscope system includes a processor including an image processing unit that obtains an inflammation evaluation value in which a degree of inflammation of a biological tissue is digitized on the basis of information of a color component of an image of the biological tissue, from the image that is obtained by imaging the biological tissue, and a monitor displaying the inflammation evaluation value. The image processing unit includes a blood vessel region determination unit obtaining certainty of a blood vessel region of the biological tissue in the image, a pixel evaluation value generation unit obtaining a pixel evaluation value by performing digitization processing with respect to each of the pixels of the image, a pixel evaluation value adjustment unit calculating an adjustment value in which the pixel evaluation value is reduced as the certainty of the blood vessel region increases.

Abstract: A processor for an electronic endoscope includes: a region detection unit configured to detect an enhancement processing target region to be enhanced from pixel information of a captured image of a living tissue; and an enhancement processing unit configured to perform enhancement processing on the enhancement processing target region detected by the region detection unit. The region detection unit is configured to repeat a candidate extraction process of extracting a focused pixel as a candidate for an enhancement processing target region when a signal level value of the focused pixel is smaller than signal level values of two farthest pixels located on both sides farthest from the focused pixel in any one of a plurality of pixel array directions in a region surrounded by a frame surrounding a region with the focused pixel as a center while changing a size of the frame.

Abstract: A processor for an electronic endoscope includes an enhancement processing unit that includes: a depth data generation unit configured to generate depth data D of the entire captured image by generating a data value representing information on a depth of a concave portion of the living tissue in each pixel; an undulation-enhanced data generation unit configured to generate a value of undulation-enhanced data S, which has information with a steeply inclined change of a signal level value at a boundary between a concave portion and a convex portion of surface irregularities of the living tissue, from the depth data D; and an enhancement processing execution unit that generates an enhanced image by adding or subtracting at least a value to or from a signal level value of the processing target pixel on which the enhancement processing of the captured image is performed.

Abstract: This endoscope system comprises: an image acquiring means for acquiring a color image having at least three color components; a placement means for placing points corresponding to respective pixels forming the color image in accordance with the color components of the points, within a plane including a first axis that is an axis of a first component among the at least three color components and a second axis that is an axis of a second component among the at least three color components and that intersects with the first axis; a distance data calculating means for calculating data regarding the distances between the points corresponding to respective pixels and a third axis defined as an axis that passes through a point at which the first axis and the second axis intersect with each other in the plane and that is not parallel to the first axis and the second axis; and an evaluation value calculating means for calculating a certain evaluation value for the color image on the basis of the calculated distance da

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 detection device executing a detection process for images of a subject obtained by illuminating cyclically the subject with light having different spectral properties and capturing the subject at timings synchronizing with illuminating cycles of the light, the image detection device comprising a shift vector detection means that detects a shift vector of the subject based on a comparison result between an image of the subject captured at a current cycle and an image of the subject which is captured at a past cycle and is illuminated with the light having a same spectral property as that of the light illuminated at the current cycle.

Abstract: An electronic endoscope system includes: an electronic endoscope including an image sensor that images a living tissue; a processor that performs image processing on an image obtained by imaging the living tissue; and a display that displays the image on which image processing has been performed. The processor includes: a feature amount calculation unit that calculates, as a feature amount, a ratio between differences of values of two color signals out of a plurality of color signals of each of pixels of the image from a reference value; and an image enhancement processing unit that enhances the image by determining a degree of increase or decrease of at least one of the values of the two color signals on the basis of the calculated ratio so as to perform enhancement processing on the image.

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 system includes a plotting unit which plots pixel correspondence points, which correspond to pixels that constitute a color image that has multiple color components, on a first color plane according to color components of the pixel correspondence points, the first color plane intersecting the origin of a predetermined color space; an axis setting unit which sets a predetermined reference axis in the first color plane; a transform unit which defines a second color plane that includes the reference axis, and subjecting the pixel correspondence points on the first color plane to projective transformation onto the second color plane; and an evaluation value calculating unit which calculates a prescribed evaluation value with respect to the color image based on the pixel correspondence points subjected to projective transformation onto the second color plane.