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Gray-scale even image segmentation method based on level set

A technology of uneven grayscale and image segmentation, applied in the field of image processing, it can solve the problems of initial contour sensitivity, inability to segment grayscale uneven images, complex re-initialization numerical steps, etc., and achieve the effect of smooth and accurate segmentation results.

Active Publication Date: 2020-05-12
KUNMING UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

Among them, the Chan-Vese (C-V) model proposed by Chan and Vese in 2001 is the most representative and has certain robustness to noise, but there are still shortcomings: the level set is sensitive to the initial contour and cannot segment some gray-scale inhomogeneities image, complex reinitialization numerical steps

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  • Gray-scale even image segmentation method based on level set
  • Gray-scale even image segmentation method based on level set
  • Gray-scale even image segmentation method based on level set

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Embodiment 1

[0056] Embodiment 1: as Figure 1-11 Shown, a kind of gray-level uneven image segmentation method based on level set, described method steps are as follows:

[0057] S1. Read each pixel value I(x) of the original uneven grayscale image, perform Gaussian smoothing on each pixel value of the original uneven grayscale image, calculate the gradient value of each pixel of the smoothed image, and calculate the gradient value according to the gradient value Calculate the speed stop operator value g(x) of each pixel point x;

[0058] S2. Set the position of the circular initial evolution curve in the original grayscale uneven image, and define the level set function The form of is a signed distance function; among them, the initial level set function value of each pixel in the image is: calculate the shortest distance from each pixel point to the initial evolution curve; the shortest distance from each pixel point on the initial evolution curve to itself is 0, which is called zero...

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Abstract

The invention discloses a gray-scale uneven image segmentation method based on a level set. According to the invention, the global variance information of the C-V model is reserved; local informationis introduced into an energy functional and is superposed with a global gray average value, so that the algorithm has global and localized effects on the edge of an image with uneven gray, and segmentation failure caused by restriction of expansion force and contraction force of a contour curve at a non-edge due to the uneven gray effect is avoided. A new speed stop operator is provided and introduced into a driving force item, the evolution speed of a level set curve is adjusted in the iteration process, evolution is prevented from falling into a local minimum value, and therefore a smootherevolution curve is obtained, and a smoother and more accurate segmentation result can be obtained by introducing the speed stop operator into the driving force item.

Description

technical field [0001] The invention relates to a method for segmenting images with uneven gray levels based on level sets, belonging to the field of image processing. Background technique [0002] At present, digital image processing technology is widely used in engineering, computer science, statistics, physics, chemistry, medicine, remote sensing and other fields, and image segmentation is a key step in the transition from image processing to image analysis, so it is particularly important to study image segmentation. After years of research, researchers at home and abroad have proposed a large number of image segmentation methods. The active contour model is a segmentation algorithm with good performance and has been widely used. It is also a research hotspot in the field of computer vision and image processing. It includes the Snake model. Represented by the parametric active contour model and the level set-based geometric active contour model. [0003] In 1988, Kass e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/10
CPCG06T7/10Y02T10/40
Inventor 房巾莉吕毅斌王樱子
Owner KUNMING UNIV OF SCI & TECH
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