Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Medical image enhancement method based on human eye visual characteristic

A medical image and human vision technology, applied in the field of medical image enhancement based on human visual characteristics, can solve the problem of uneven image brightness and darkness

Inactive Publication Date: 2015-12-02
曲阜裕隆生物科技有限公司
View PDF4 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problems existing in the above-mentioned prior art, and provide a medical image enhancement method based on the visual characteristics of the human eye, which can effectively solve the problem of uneven brightness and darkness of the image, and enhance the local details of the image, while maintaining the image quality of the original image. color performance

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Medical image enhancement method based on human eye visual characteristic
  • Medical image enhancement method based on human eye visual characteristic
  • Medical image enhancement method based on human eye visual characteristic

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0049] For the purpose of image enhancement, the present invention firstly proposes a nonlinear global mapping model, introduces TAN function and improves it to simulate the pupil brightness adjustment mechanism, and adaptively adjusts the overall brightness level of the image according to the statistical characteristics of the image. Then, according to the side-inhibition competition mechanism of the visual pathway, an improved dual-antagonism side-inhibition response model is proposed, which enhances the local area details of the brightness-adjusted image and improves the image contrast.

[0050] The inventive method such as figure 2 shown, including:

[0051] Since the RGB color space has a high color correlation, the image (that is, the medical image that needs to be enhanced) is converted from the RGB space to the HSV space with less color correlation, and the ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention provides a medical image enhancement method based on a human eye visual characteristic, belonging to the field of digital image processing. The method comprises the steps of (S1) inputting a medical image needed to be enhanced, converting the medical image to an HSV space from an RGB space, and obtaining a brightness component v (x, y), a hue component h (x, y) and a saturation component s (x, y), (S2) defining an adaptive correction function according to a brightness histogram cumulative distribution function, obtaining adjustment parameters k and c, (S3) according to the brightness component v (x, y) and the adjustment parameters k and c, using a modified TAN function to calculate and obtain an adjusted brightness component v' (x, y), (S4) according to the image mean value I<-> after brightness adjustment, judging whether the parameter c needs to be adjusted finely, if so, carrying out fine adjustment to obtain a new parameter c', replacing c with c', then returning to the step S3, and if not, going to step (S5).

Description

technical field [0001] The invention belongs to the field of digital image processing, and in particular relates to a medical image enhancement method based on the visual characteristics of human eyes. Background technique [0002] The main problems to be solved in medical image enhancement processing are brightness adjustment and color detail enhancement. However, conventional image enhancement methods have many deficiencies, making it difficult to achieve the purpose of medical image enhancement. The Retinex algorithm aims to achieve color constancy. It uses the visual characteristics of the human eye to adjust the brightness of the image and enhance the color details. The color of the pixel is obtained by calculating the relative light and shade relationship between each pixel. It has a good high dynamic range compression effect. Medical images also perform well. Since the Retinex algorithm was proposed in 1963, researchers at home and abroad have successively proposed R...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 李盛穆海东汪宁梅葛春裴姣姣
Owner 曲阜裕隆生物科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products