Adaptive Wavelet Transform Based on Artificial Fish Swarm Optimization and Fuzzy C-means Method for Noisy Image Segmentation

Rui Yang1, 2 and Dahai Li1, 2

  1. School of Electronic and Electrical Engineering, Zhengzhou University of Science and Technology
    Zhengzhou, 450015 China
    snowycry@qq.com
  2. Henan Intelligent Information Processing and Control Engineering Technology Research Center
    Zhengzhou, 450015 China
    haihaideyou@163.com

Abstract

Aiming at the problem that traditional fuzzy C-means (FCM) clustering algorithm is susceptible to noise in processing noisy images, a noisy image segmentation method based on FCM wavelet domain feature enhancement is proposed. Firstly, the noise image is decomposed by two-dimensional wavelet. Secondly, the edge enhancement of the approximate coefficient is carried out, and the artificial fish swarm (AFS) optimization algorithm is used to process the threshold value of the detail coefficient, and the processed coefficient is reconstructed by wavelet transform. Finally, the reconstructed image is segmented by FCM algorithm. Five typical gray-scale images are selected by adding Gaussian noise and Salt& pepper noise, respectively, and segmented by various methods. The peak signal-to-noise ratio (PSNR) and error rate (MR) of segmented images are used as performance indexes. Experimental results show that compared with traditional FCM clustering algorithm segmentation method, particle swarm optimization (PSO) segmentation method and other methods, the indexes of image segmentation by the proposed method is greatly improved. It can be seen that the proposed segmentation method retains the texture information of image edge well, and its anti-noise performance and segmentation performance are improved.

Key words

FCM, artificial fish swarm optimization, wavelet transform, noisy image segmentation

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS220321039Y

Publication information

Volume 19, Issue 3 (September 2022)
Year of Publication: 2022
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Yang, R., Li, D.: Adaptive Wavelet Transform Based on Artificial Fish Swarm Optimization and Fuzzy C-means Method for Noisy Image Segmentation. Computer Science and Information Systems, Vol. 19, No. 3, 1389-1408. (2022), https://doi.org/10.2298/CSIS220321039Y