A novel type of multiple-template image edge fusion method based on ant colony clustering

In light of the discrete characteristics of digital images, a novel type of multiple-template image edge fusion method based on ant colony clustering is proposed in this paper. The method integrates the image clustering approach with the template edge extraction, extracts image edge features by using the concept of ant clustering, and then builds up multiple templates for image edge extraction to set the heuristic function for clustering and the initial cluster center, which can avoid the blind search in traditional ant colony clustering. A series of simulation experiments demonstrated the feasibility and effectiveness of the proposed method.