A Review on Edge Detection Using Different Techniques

Rekha Rani, Shailja Kumari

Abstract: An edge can be described as the boundary between an object and the background in an image, and it also indicates the boundary between overlapping objects in an image. Edge detection methods are a combination of image smoothing and image differentiation plus a post-processing for edge labelling. Edge detection discusses the process of identifying and locating sharp discontinuities in an image. In this paper, the main aim is to survey the theory of edge detection for image processing using different types of techniques. In this paper, the represented methods for edge segmentation of satellite images, that used five techniques for this category, Sobel operator technique, Roberts Cross Edge Detector, Prewitt technique, Laplacian technique and Edge Maximization Technique (EMT). In the first section of the paper describe the Introduction of edge detection. Second section of the paper described the Edge Detection Techniques. In the third section describe analysis the Related Work. In the fourth section we described different steps of Fuzzy Logic Using Logic Using Edge Detection. In the fifth section described CBIR Technique and Bacterial Foraging Optimization Technique. Finally presented the Conclusion with the references.

Keywords: Edge detection, Fuzzy Logic, CBIR Technique, Bacterial Foraging Optimization Technique