Summary of the Image Edge Detection
Edge of image is one of the most fundamental and significant features. Edge detection is always one of the classical studying projects of computer vision and image processing field. It is the first step of image analysis and understanding. The purpose of edge detection is to discover the information about the shapes and the reflectance or transmittance ratio in an image. Edge detection is one of the fundamental steps in image processing, image analysis, image pattern recognition, and computer vision, as well as in human vision. The correctness and reliability of its results affect directly the comprehension machine system made for objective world. This paper introduces and compares the edge detection methods. In this paper, it firstly introduces the definition of image edge detection; and then introduces the fundamental steps and request of image edge detection, introduces some traditional edge detection methods and some edge detection methods which are extensively paid attention to in recent years. Finally, in this paper, it compares and summarizes these methods of edge detection.
image processing edge detection detection algorithm fuzzy principle wavelet edge detection
WANG Ying FAN Yin-hai XU Wei-ke
Dalian Maritime University, Dalian, Liaoning, 116026, China
国际会议
北京
英文
2007-08-05（万方平台首次上网日期，不代表论文的发表时间）