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Multi-feature-based gray uneven image fast segmentation method

A technology with uneven grayscale and multiple features, applied in the field of image processing, it can solve problems such as slow segmentation rate, boundary leakage, sensitivity, etc.

Inactive Publication Date: 2015-12-09
WUHAN UNIV
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Problems solved by technology

[0006] In order to solve the problem that the original image segmentation model is sensitive to initialization information, the segmentation rate is slow, and the boundary leakage is prone to occur in the weak boundary area of ​​the image, etc.; Algorithm sensitivity to initial contours and improved segmentation speed and accuracy

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  • Multi-feature-based gray uneven image fast segmentation method
  • Multi-feature-based gray uneven image fast segmentation method
  • Multi-feature-based gray uneven image fast segmentation method

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Embodiment Construction

[0060] The present invention will be further described below in conjunction with drawings and embodiments.

[0061] This example verifies the effectiveness of the present invention through field experiments.

[0062] A method for fast segmentation of images with uneven gray levels based on multiple features, is characterized in that it comprises the following steps:

[0063] Step 1, input the image to be segmented: I0.

[0064] Step 2, initialize the closed curve profile and related parameters: set the initial profile C 0 , using formula (2) to initialize the level set function φ 0 , set the time step: Δt=0.1, used to control the parameter setting in the curve smoothness function Heaviside: ε=1.5, the length penalty parameter: μ=λ×255 2 ,λ∈(0,1); formula (3)H new (x) is the curve smoothness Heaviside function, where the curve of the function is as Figure 2-2 as shown, diagram 2-1 Represents the original Heaviside function graph, in which different values ​​of the param...

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Abstract

The invention discloses a multi-feature-based gray uneven image fast segmentation method. Similarity theory fast estimation bias field information is introduced, which simplifies a local information model. The running speed is greatly improved. The sensitivity to initialization contour information is reduced. Compared with a classical algorithm, the method has the advantages that a Heaviside function similar to a step function is constructed; a segmentation curve is more smooth; a dual termination condition is introduced; and according to different self-adaptive end curve evolution processes of an image content, the speed of a segmentation algorithm is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a multi-feature-based fast segmentation method for images with uneven gray levels. Background technique [0002] Due to the influence of factors such as illumination, shooting angle, and uneven frequency of the coil receiving the image, some images show uneven gray levels, especially in medical images, where the different imaging principles and their own characteristics lead to medical image segmentation. become a big problem. For example, in medical images, the target boundary is affected by factors such as low signal-to-noise ratio and bias field, resulting in images with weak boundaries, image blur and other characteristics, which cause a certain degree of interference to image segmentation. This inhomogeneity is mainly reflected in the systematic change of the local statistical properties of the image. According to the characteristics of the uneven gray...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T2207/10061G06T2207/10081G06T2207/30008G06T2207/30024
Inventor 何发智于海平
Owner WUHAN UNIV
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