Abstract: An image processing device includes: one or more processors comprising hardware, wherein the one or more processors are configured to: input a captured image captured by an endoscope in a body cavity of a subject to a Convolutional Neural Network (CNN) using a trained model, the trained model having training data in which each of training images is associated with category information including a lumen direction of a region outside the each of training images in which the lumen is present; estimate, based on the CNN, category information including a lumen direction of a region outside the captured image in which the lumen is likely to be present; and output the category information estimated.

Abstract: A first local region category calculation unit calculates a first local region category of an input image. An image category calculation unit calculates an image category from the first local region category. An image category output unit outputs the image category. A second local region category calculation unit calculates a second local region category of the input image. A local region category output unit outputs the second local region category.

Abstract: A plurality of images of an observation target are consecutively acquired with time intervals, coordinates of an observation position are identified in each image, and a plurality of corresponding points, which are pixel positions at which a image and a previously captured image correspond, are detected, wherein in this endoscope apparatus, when the coordinates of the observation position cannot be identified in the image, the coordinates of the observation position identified in the previously captured image are transformed to coordinates in a coordinate system of the image, and a direction of the transformed coordinates of the observation position with respect to the image center is calculated and is displayed together with the image.

Abstract: A color image processing apparatus reproduces color data of a subject at higher accuracy by estimating the spectral reflectance of the subject from the color chip basis function vn(?) which can expand the spectral reflectances of all color chips of the reference chart and the expansion coefficients B of the color chips. The color image processing apparatus uses an image processing device to which a subject shooting signal Q shot by the color image input device and a reference chart shooting signal G taken from a plurality of color chips each having a spectral reflectance, is known.

Abstract: A color image processing apparatus reproduces color data of a subject at higher accuracy by estimating the spectral reflectance of the subject from the color chip basis function vn (?) which can expand the spectral reflectances of all color chips of the reference chart and the expansion coefficients B of the color chips. The color image processing apparatus uses an image processing device to which a subject shooting signal Q shot by the color image input device and a reference chart shooting signal G taken from a plurality of color chips each having a spectral reflectance, is known.

Abstract: A color image processing apparatus reproduces color data of a subject at higher accuracy by estimating the spectral reflectance of the subject from the color chip basis function vn (?) which can expand the spectral reflectances of all color chips of the reference chart and the expansion coefficients B of the color chips. The color image processing apparatus uses an image processing device to which a subject shooting signal Q shot by the color image input device and a reference chart shooting signal G taken from a plurality of color chips each having a spectral reflectance, is known.

Abstract: An image formation apparatus is equipped with a recording head having a plurality of recording elements for forming an image on a recording medium. A binarized image data storage unit stores binarized image data for on-off control of the recording elements of the recording head. A correction data storage unit stores density irregularity correction data for correcting irregularities in density which occur when the recording elements of the recording head are respectively driven to form the image for each of the recording elements. A density irregularity correction unit corrects, prior to the image formation, the binarized image data stored in the binarized image data storage unit on the basis of the density irregularity correction data stored in the correction data storage unit.

Abstract: A color image processing apparatus reproduces color data of a subject at higher accuracy by estimating the spectral reflectance of the subject from the color chip basis function vn (&lgr;) which can expand the spectral reflectances of all color chips of the reference chart and the expansion coefficients B of the color chips. The color image processing apparatus uses an image processing device to which a subject shooting signal Q shot by the color image input device and a reference chart shooting signal G taken from a plurality of color chips each having a spectral reflectance, is known.

Abstract: A color image processing apparatus for reproduces color data of a subject at higher accuracy by estimating the spectral reflectance of the subject from the color chip basis function vn (&lgr;) which can expand the spectral reflectances of all color chips of the reference chart and the expansion coefficients B of the color chips. The color image processing aparatus uses an image processing device to which a subject shooting signal Q shot by the color image input device and a reference chart shooting signal G taken from a plurality of color chips each having a spectral reflectance is known.