HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

Edge Detection Techniques-An Overview

Djemel Ziou 1 Salvatore Tabbone
1 ISA - Models, algorithms and geometry for computer graphics and vision
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In computer vision and image processing, edge detection concerns the localization of significant variations of the grey level image and the identification of the physical phenomena that originated them. This information is very useful for applications in 3D reconstruction, motion, recognition, image enhancement and restoration, image registration, image compression, and so on. Usually, edge detection requires smoothing and differentiation of the image. Differentiation is an ill-conditioned problem and smoothing results in a loss of information. It is difficult to design a general edge detection algorithm which performs well in many contexts and captures the requirements of subsequent processing stages. Consequently, over the history of digital image processing a variety of edge detectors have been devised which differ in their mathematical and algorithmic properties. This paper is an account of the current state of our understanding of edge detection. We propose an overview of research in edge detection: edge definition, properties of detectors, the methodology of edge detection, the mutual influence between edges and detectors, and existing edge detectors and their implementation.
Document type :
Journal articles
Complete list of metadata

Contributor : Publications Loria Connect in order to contact the contributor
Submitted on : Monday, September 25, 2006 - 5:01:31 PM
Last modification on : Friday, February 4, 2022 - 3:21:56 AM


  • HAL Id : inria-00098446, version 1



Djemel Ziou, Salvatore Tabbone. Edge Detection Techniques-An Overview. Распознавание образов и анализ изображен / Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications, MAIK Nauka/Interperiodica (МАИК Наука/Интерпериодика), 1998, 8 (4), pp.537-559. ⟨inria-00098446⟩



Record views