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Segmentation method based on reaction diffusion equation

A technique of diffusion equation and reaction, which is applied in image analysis, image data processing, instruments, etc., can solve the problems of segmentation result dependence, initial contour curve sensitivity, etc., achieve good image segmentation effect, fast operation speed, and simple effect

Inactive Publication Date: 2016-10-26
温文媖
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AI Technical Summary

Problems solved by technology

However, the existing image segmentation based on the diffusion equation essentially performs boundary-preserving smoothing on the image first, and they have the following two shortcomings: First, the segmentation result is closely dependent on the smoothing result
However, these models all have the disadvantage of being sensitive to noise and initial contour curves

Method used

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  • Segmentation method based on reaction diffusion equation
  • Segmentation method based on reaction diffusion equation
  • Segmentation method based on reaction diffusion equation

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Embodiment 1

[0028] Embodiment 1: The segmentation method based on the reaction-diffusion equation mentioned in the present invention first uses image features to construct a reaction item. The specific method is to give an image I, calculate the local entropy of the image according to the Shannon entropy definition, and obtain the entropy image E; then give the parameter α, calculate the entropy threshold, and obtain the heterogeneous area R of the image; then calculate the mean value of the heterogeneous area M, construct the reaction term f(x,y)=M-I, this kind of function has the property of opposite signs inside and outside the target. figure 2 It is to verify the nature of the designed response term in the smooth image and different noise image targets. The test images are: a smooth image, and multiple Gaussian noise images, such as figure 2 (a)-(d) shown. from figure 2 (e)-(h) It is evident that the response term has the property of opposite signs inside and outside these image...

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Abstract

The invention relates to a segmentation method based on a reaction diffusion equation, characterized in that under a level set framework, based on a reaction diffusion mechanism, utilizing a diffusion term to smoothen a level set function; and through analyzing image properties and characteristics, constructing a reaction term having opposite signs inside and outside an image target. The equation can be realized based on a simple finite difference method; in addition, the level set function can be initialized to be any bounded function, thereby well solving the problem of contour initialization. The segmentation method can obtain sound image segmentation effects, and possesses the advantages of simple implementation and fast operation speed.

Description

technical field [0001] The invention discloses a segmentation method based on a reaction-diffusion equation model. The diffusion item is used to smooth the level set. By designing the diffusion item, the level set function can move up and down and finally reach the target boundary so as to separate the target from the background. The initial level set function does not need to be defined by the contour, but can be defined as an arbitrary bounded function (such as a constant value function), thus avoiding a series of problems caused by contour initialization. This method provides a new idea for further research on the direct application of reaction-diffusion equation to image segmentation. Background technique [0002] Image segmentation is the most basic and critical technology in the field of image processing. It plays a role in connecting the past and the future in image processing. It is not only a test of the effect of image preprocessing, but also a preparation for subs...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T2207/20116
Inventor 温文媖何传江方志军张玉书方玉明
Owner 温文媖
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