A novel method for edge detection in a gray image based on human psychovisual phenomenon and Bat algorithm
Soumyadip Dhar, Saif Alam, Mouli Santra, Priyanka Saha, Sukirti Thakur · 2017
Edge detection is a primary and important task in image processing. In this a paper we propose a novel method for edge detection in a gray image based on Human Psycho Visual (HVS) phenomenon. The method automatically detects the De-Vries Rose, Weber and Saturation regions in an image as a HVS system, based on image statistics using Bat Algorithm (BA). This is followed by adaptive threshoding in each region to detect the edge points. The performance of the proposed method is found to be superior than that of the conventional and stare-of-the-art method for edge detection on standard data set.