Abstract: There is disclosed an image processing apparatus for performing an image processing on a medical image represented by digital data in a medical field, and the appropriate image processing is performed with respect to various medical images. An image processing condition suitable for a photography condition is stored beforehand in an image processing condition storing section 218, and an image processing section 212 subjects the medical image to an image processing based on the image processing condition suitable for the photography condition when the medical image is obtained.

Abstract: A fluorescent image, and either a bright-field image or a phase difference image of a plurality of cells are acquired by a microscope. A position of each cell is specified in the fluorescent image, and then a cell region of each cell is specified using the bright-field image or the phase difference image. A fluorescent part other than the cell region is thereby excluded. A class of each cell is determined, that is, the cells are classified. Thereafter, based on these results, a report is created.

Abstract: An original image is subjected to an opening processing and to a closing processing to obtain a blurred image by using an average value between the result of the opening processing and the result of the closing processing as a reference for correcting the brightness. The brightness of the original image is corrected by multiplying a difference between the blurred image and the original image, by a ratio of an upper limit value of brightness to a difference between the upper limit value of brightness and the blurred image. Then, the brightness of the original image is corrected based on the blurred image which enhances the contrast of a highly bright portion of a predetermined area or more while lowering the brightness of that portion. Contrast and brightness of the whole image can be adapted to the sensitivity of human eyes.

Abstract: A computer readable recording medium recorded with a diagnosis supporting program, a diagnosis supporting apparatus and a diagnosis supporting method, enabling to retrieve similar disease cases making use of feature quantities of CT images and/or MRI images when interpreting such images, to thereby allow an improvement of diagnosis precision.

Abstract: A fluorescent image, and either a bright-field image or a phase difference image of a plurality of cells are acquired by a microscope. A position of each cell is specified in the fluorescent image, and then a cell region of each cell is specified using the bright-field image or the phase difference image. A fluorescent part other than the cell region is thereby excluded. A class of each cell is determined, that is, the cells are classified. Thereafter, based on these results, a report is created.

Abstract: A gray scale image or a color image is entered for wavelet transformation. A layout feature is determined from a coefficient of the lowest frequency band after the wavelet transformation. A shape feature is determined from a coefficient of the second lowest frequency band after wavelet transformation. Furthermore, a texture feature is determined from the average and deviation of frequency bands excepting the lowest frequency band after wavelet transformation.

Abstract: An original image is subjected to an opening processing and to a closing processing to obtain a blurred image by using an average value between the result of the opening processing and the result of the closing processing as a reference for correcting the brightness. The brightness of the original image is corrected by multiplying a difference between the blurred image and the original image, by a ratio of an upper limit value of brightness to a difference between the upper limit value of brightness and the blurred image. Then, the brightness of the original image is corrected based on the blurred image which enhances the contrast of a highly bright portion of a predetermined area or more while lowering the brightness of that portion. Contrast and brightness of the whole image can be adapted to the sensitivity of human eyes.

Abstract: A computer readable recording medium recorded with a diagnosis supporting program, a diagnosis supporting apparatus and a diagnosis supporting method, enabling to retrieve similar disease cases making use of feature quantities of CT images and/or MRI images when interpreting such images, to thereby allow an improvement of diagnosis precision.

Abstract: An apparatus for transforming image data using a Wavelet transform, including an image compressing apparatus having a Wavelet transforming unit for compressing digitized image data and an image restoring apparatus having an inverse Wavelet transforming unit for restoring image data compressed by the image compressing apparatus. The Wavelet transforming unit in the image compressing apparatus includes a unit for extending image data area to make the number of data of the object of transform in horizontal and vertical directions, with every one octave of resolution lowered when a Wavelet transform is conducted hierarchically based on multiple resolution analysis, thereby conducting a Wavelet transform on data of the interpolated image data area. The inverse Wavelet transforming unit in the image restoring apparatus includes a unit for reducing redundant portion generated by extension of image data area in the image data compression, with every one octave of resolution increased.