A robust suppressed fuzzy C-means image segmenting algorithm based on image patch

doi:10.3969/j.issn.1000-1565.2023.04.013

Journal of Hebei University(Natural Science Edition) ›› 2023, Vol. 43 ›› Issue (4): 442-448.DOI: 10.3969/j.issn.1000-1565.2023.04.013

A robust suppressed fuzzy C-means image segmenting algorithm based on image patch

ZHENG Yibo,LI Zhongcan,CHENG Yangxin,DONG Yuhe,ZHU Zhanlong

Hebei Key Laboratory of Optoelectronic Information and Geo-Detection Technology, Heibei GEO University, Shijiazhuang 050031, China

Received:2022-11-02 Online:2023-07-25 Published:2023-08-03

Abstract

Abstract: Considering that the non-destructive testing(NDT)image is easy to be disturbed by noise and the target occupies a small area of the image, a robust and adaptive suppressed fuzzy C-means algorithm based on the image patch(SFCMP)is proposed to segment NDT image. Firstly, the weight of the pixels in the image patch is adaptively determined, which is affected by the spatial distance and gray value of each pixel in the image patch. Then the fuzzy uncertainty model of image patch is constructed, and it is introduced into the new objective function with image patch as the basic unit, and the implementation process of the SFCMP is given. Finally, experiments are carried out on the NDT images, and the results show that the SFCMP has good robustness and effectiveness.

Key words: image segmentation, suppressed fuzzy C-means clustering, image patch, non-destructive testing

CLC Number:

TP391.4

ZHENG Yibo,LI Zhongcan,CHENG Yangxin,DONG Yuhe,ZHU Zhanlong. A robust suppressed fuzzy C-means image segmenting algorithm based on image patch[J]. Journal of Hebei University(Natural Science Edition), 2023, 43(4): 442-448.

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A robust suppressed fuzzy C-means image segmenting algorithm based on image patch

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