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Threshold image segmentation method with minimal clustering distortion

A technology of image segmentation and distortion degree, which is applied in the field of image processing, can solve problems such as unsatisfactory image segmentation methods, achieve good image segmentation effects, and reduce the probability of misclassification

Inactive Publication Date: 2015-04-08
GUILIN UNIV OF ELECTRONIC TECH
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Problems solved by technology

[0003] What the present invention aims to solve is the problem that the effect of the existing image segmentation method is not ideal, and provides a threshold image segmentation method with the minimum degree of clustering distortion;

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  • Threshold image segmentation method with minimal clustering distortion
  • Threshold image segmentation method with minimal clustering distortion
  • Threshold image segmentation method with minimal clustering distortion

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Embodiment Construction

[0024] A threshold image segmentation method with minimum clustering distortion, comprising the steps of:

[0025] Step 1, read in the image and get the histogram of the image. Suppose the gray level of an image f is L, then the gray value of the pixel in the image is [0,1,...,L-1], and the statistical gray value is the pixel frequency n of i i , i=0,1,...,L-1. All the gray values ​​in [0,1,...,L-1] within the above range of gray values ​​are positive integers.

[0026] Step 2, take each gray value in sequence from the gray value range [0,1,...,L-1] as the segmentation threshold point T, and repeat the following steps for each segmentation threshold point T :

[0027] In step 2.1, the image is divided into two categories according to the above selected segmentation threshold point T, that is, pixels with a grayscale of [0, T] constitute the target category, which is denoted as C 0 , the pixels whose grayscale is [T+1,L-1] constitute the background class, denoted as C 1 ; ...

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Abstract

The invention discloses a threshold segmentation method with minimal clustering distortion. Firstly, according to the set threshold, the image is segmented into a target part and a background part; then, the sum of the value clustering segmentation distortion in the target part and the background part is calculated when segmentation is carried out according to the set threshold; and the above process is repeated on all gray levels of the image, and the gray level corresponding to the minimal sum of the segmentation distortion is found out to be the evaluated threshold. When the method of the invention is adopted, segmentation is more accurate to carry out, and the segmentation distortion is minimal.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a threshold image segmentation method with the minimum degree of clustering distortion; Background technique [0002] Image segmentation is an important basic technology in image processing, with a wide range of applications; the goal of image segmentation is to segment the target area and background area of ​​the image for further subsequent processing such as target recognition and tracking; therefore, researchers have proposed Various image segmentation methods, among which the threshold-based image segmentation method is an intuitive and effective image segmentation method; the Ostu algorithm is a classic threshold method first proposed by the Japanese scholar Otsu in 1979, due to its stable According to the one-dimensional gray histogram of the image, the algorithm exhaustively searches to divide the pixels into two categories: target and background. Whe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/11
Inventor 王学文陈利霞
Owner GUILIN UNIV OF ELECTRONIC TECH
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