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 image 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, a lesion pixel counting means that counts a number of lesion pixels which is a number of pixels judged to be the lesion portion, a lesion index calculation means that calculates a lesion index based on the number of lesion pixels; and a lesion index display means that displays the lesion index.

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.