Detection and classification of edges in color images
- 21 March 2005
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Signal Processing Magazine
- Vol. 22 (1), 64-73
- https://doi.org/10.1109/msp.2005.1407716
Abstract
Up to now, most of the color edge detection methods are monochromatic-based techniques, which produce, in general, better than when traditional gray-value techniques are applied. In this overview, we focus mainly on vector-valued techniques because it is easy to understand how to apply common edge detection schemes to every color component. Opposed to this, vector-valued techniques are new and different. The second part of the article addresses the topic of edge classification. While edges are often classified into step edges and ramp edges, we address the topic of physical edge classification based on their origin into shadow edges, reflectance edges, orientation edges, occlusion edges, and specular edges. In the rest of this article we discuss various vector-valued techniques for detecting discontinuities in color images. Then operators are presented based on vector order statistics, followed by presentation by examples of a couple of results of color edge detection. We then discuss different approaches to a physical classification of edges by their origin.Keywords
This publication has 23 references indexed in Scilit:
- Classifying color edges in video into shadow-geometry, highlight, or material transitionsIEEE Transactions on Multimedia, 2003
- Shadow elimination for effective moving object detection by Gaussian shadow modelingImage and Vision Computing, 2003
- Physics-Based Segmentation of Complex Objects Using Multiple Hypotheses of Image FormationComputer Vision and Image Understanding, 1997
- Suppression of false edge detection due to specular reflection in color imagesPattern Recognition Letters, 1997
- Reduction of color space dimensionality by moment-preserving thresholding and its application for edge detection in color imagesPattern Recognition Letters, 1996
- Color edge detection using vector order statisticsIEEE Transactions on Image Processing, 1993
- Edge detection in multispectral imagesCVGIP: Graphical Models and Image Processing, 1991
- Ambient illumination and the determination of material changesJournal of the Optical Society of America A, 1986
- Using color to separate reflection componentsColor Research & Application, 1985
- Theory of edge detectionProceedings of the Royal Society of London. B. Biological Sciences, 1980