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Method for automatically identifying and calibrating medical color images and medical gray scale images

A gray-scale image and automatic recognition technology, applied in character and pattern recognition, image analysis, image enhancement, etc., can solve problems that affect doctors' detection and diagnosis of lesions, improve accuracy and efficiency, ensure display quality, and avoid The effect of mixed information

Active Publication Date: 2015-04-01
NANJING JUSHA DISPLAY TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above situations will affect the discovery and diagnosis of lesions by doctors to a certain extent.

Method used

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  • Method for automatically identifying and calibrating medical color images and medical gray scale images
  • Method for automatically identifying and calibrating medical color images and medical gray scale images

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Embodiment

[0025] Example: Reference figure 1 As shown, the present invention provides a specific embodiment of a method for automatic identification and calibration of medical color and gray-scale images, in several color images C, several gray-scale images G and several borders around C or G e. In this embodiment, the number of image-reading areas is 4, the image-reading areas 1 and 4 are grayscale images, and the image-reading areas 2 and 3 are color images. The steps are as follows:

[0026] Step1 According to the component values ​​of the R, G, and B channels of each pixel of the original image, use the change relationship between YUV and RGB color spaces to establish the correspondence between brightness and the three color components of R, G, and B: Y=0.30R+ 0.59G+0.11B, and express the grayscale value of the corresponding pixel in brightness, when all the pixels of the original image are transformed, the grayscale of the image can be completed;

[0027]Step2 sets a global thres...

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Abstract

The invention discloses a method for automatically identifying and calibrating medical color and gray scale images. The method includes the steps of carrying out image graying and binarization, carrying out feature point detection, statistics and merging, determining ranges of the color images and the gray scale images, and calling different calibrating curves according to the color attributes of the images within the ranges. According to the method, in a display picture formed by the multiple color images and the multiple gray scale images, the displaying ranges of the color images and the gray scale images can be correctly divided, and different calibrating modes can be adopted for the different images within the ranges, so that on the premise that complex information is avoided, the displaying quality of the images is guaranteed, and the doctor diagnosis accuracy and the doctor diagnosis efficiency are improved.

Description

technical field [0001] The invention relates to a method for automatic recognition and calibration of medical color and grayscale images. Background technique [0002] With the rapid development of medical displays, doctors can simultaneously view color images and grayscale images on a high-resolution, high-brightness color display. Although this avoids the complicated signal switching during the diagnosis process, and the trouble caused by using a grayscale display and a single color display at the same time, it brings a lot of problems because the display uses a unified GAMMA calibration or DICOM calibration to process the image. And the problem that the display quality of the image is deteriorated. For example, if DICOM calibration is used for color images, the image will have color deviation and brightness will decrease; if GAMMA calibration is used for grayscale images, image brightness will increase and color contrast will decrease. Therefore, a single calibration me...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/40
CPCG06T2207/10024G06T2207/30004G06T5/77G06T5/90G06T5/92G06T7/0012G06T7/90
Inventor 王卫
Owner NANJING JUSHA DISPLAY TECH
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