Edge Detection using Guided Image Filtering and Enhanced Ant Colony Optimization
Akshi Kumar, Sahil Raheja
Abstract
Edge detection is an important process in many classes of engineering problems. An edge is a boundary between two regions. In the edge detection process, the input is a grayscale image while the output image is a binary image showing edge and non-edge pixels. As a state of art, methods are based on gradient operator, but the accuracy level is poor. Therefore, in recent past soft computing based methods are proposed which are more accurate, still, these methods fail to detect some of the true edges. In this paper, the two-level approach is adopted for edge detection, firstly image edges are enhanced using guided image filtering, and secondly on these enhanced images enhanced ant colony optimization method is applied for edge detection.