Title: Breast cancer image enhancement with the aid of optimum wavelet-based image enhancement using social spider optimisation

Authors: T. Venkata Satya Vivek; C. Raju; D. Girish Kumar

Addresses: Department of Computer Science and Engineering, SV College of Engineering, Tirupati – 517 507, AP, India ' Department of Electronics and Communication Engineering, SV Engineering College for Women, Tirupati – 517 507, AP, India ' Department of Electronics and Communication Engineering, SV Engineering College for Women, Tirupati – 517 507, AP, India

Abstract: This paper is to enhance features and gain higher traits of breast cancer images utilising optimum wavelet-based image enhancement (OWBIE) with social spider optimisation (SSO). More than a few biomedical images are of low quality and difficult to detect and exact information. The converted gray pictures are utilised for filtering approach; here optimum wavelet-based image enhancement with social spider optimisation, histogram equalisation, anti-forensic distinction enhancement process and curvelet centred distinction enhancement are used. The proposed technique is used to remove noise and hold area moderately sharp in the fed enter images. In the results, more than a few mean absolute error (MAE), mean square error (MSE), root mean square error (RMSE), peak signal to noise ratio (PSNR) and structural similarity index measure (SSIM) evaluation metrics graphs are analysed and enhanced. This proposed process performed better in comparison with different enhancement techniques.

Keywords: optimum wavelet-based image enhancement; OWBIE; social spider optimisation; SSO; breast cancer.

DOI: 10.1504/IJBET.2022.120861

International Journal of Biomedical Engineering and Technology, 2022 Vol.38 No.1, pp.29 - 43

Received: 28 Jun 2018
Accepted: 21 Sep 2018
Published online: 15 Feb 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article