Title: The fast multi-threshold colour image segmentation based on decision rough set

Authors: Yanting Cao

Addresses: School of Computer and Software, Suzhou Polytechnic Institute of Agriculture, Suzhou, 215008, China

Abstract: In order to improve the speed and quality of multi-threshold colour image segmentation, a new multi-threshold colour image segmentation method based on decision rough set is proposed. Firstly, the RGB colour space is constructed, and the average brightness value is used to calculate the position segmentation points of the global histogram of the multi-threshold image. Then, the output membership value is obtained by decision rough set, and the multi-threshold image colour channel compensation and attenuation information are determined. Finally, the Gauss function is used to determine the segmentation position of each channel of the multi threshold image, and the fast multi-threshold colour image segmentation is completed. The experimental results show that the segmentation coefficient of this method is 0.868, the maximum PSNR value is 0.982 and the minimum MSE value is 0.003.

Keywords: multi-threshold colour image; RGB colour space; histogram equalisation; decision rough set; image segmentation.

DOI: 10.1504/IJRIS.2023.136353

International Journal of Reasoning-based Intelligent Systems, 2023 Vol.15 No.3/4, pp.213 - 219

Received: 24 Jun 2022
Accepted: 22 Sep 2022
Published online: 31 Jan 2024 *

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