Breast cancer image enhancement with the aid of optimum wavelet-based image enhancement using social spider optimisation Online publication date: Tue, 15-Feb-2022
by T. Venkata Satya Vivek; C. Raju; D. Girish Kumar
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 38, No. 1, 2022
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.
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