Title: MR image enhancement and brain tumour detection using soft computing and BWT with auto-enhance technique

Authors: Nilesh Bhaskarrao Bahadure; Nagrajan Raju; Prasenjeet D. Patil

Addresses: School of Technology, Department of Electronics Engineering, Sanjay Ghodawat University, Kolhapur, Maharashtra, India ' School of Electrical and Electronics Engineering, Department of Electronics and Communication Engineering, SASTRA University, Thanjavur, Tamil Nadu, India ' School of Technology, Department of Electronics Engineering, Sanjay Ghodawat University, Kolhapur, Maharashtra, India

Abstract: In this research work new algorithm using soft-computing is presented for medical image enhancement with auto-enhance technique. Image enhancement is one of the most important classes of image analysis in image processing. This paper presents the complete review of the different performance parameters of popular image enhancement techniques and proposes a new methodology for improvising visualisation with preserving high-intensity value. The images with the colour intensity value cannot be processed directly by most of the enhancement techniques, hence a suitable colour model is chosen for processing and the proposed algorithm for the same are implemented. Accurate analysis of information from the region of interest area from the images is always a central issue in the image analysis, so with the help of this improved algorithm based on the soft computing technique, it is possible to enhance the images with best in the class, clarity, and visualisation. Simulation and experimental result on the different test images proves that the proposed algorithm gives better result as compared to other state of the art image enhancement techniques.

Keywords: Berkeley wavelet transformation; BWT; fuzzy clustering means; FCMs; magnetic resonance imaging; MRI.

DOI: 10.1504/IJBM.2023.130635

International Journal of Biometrics, 2023 Vol.15 No.3/4, pp.314 - 326

Received: 09 Jul 2021
Accepted: 06 Oct 2021
Published online: 02 May 2023 *

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