Application of Wavelet Transform in Edge Detection
Edge is the most important feature of an image. It contains much of information of an image. In addition, edge detection has a significant influence on the performance of image analysis and comprehension. In order to study the edge detection algorithm on the edge of the location and antinoise capability, we selected Log operator, Canny operator and wavelet transform edge detection algorithm to detect image edge by using Matlab software. Simulation results show that, three edge detection operators possessed different capacity in the edge location and suppress noise. Wavelet transform can provide the edge information of different scales. The experimental result shows that, since wavelet transform have a multi-scale feature and localization characteristic, it can accurately detect the edge points, In the meantime ,it can overcome preferably noise-sensitive problems which arise from Log operator and Canny operator.
edge point wavelet transform edge detection
Li Wan-she Zhao Jin
College of Mathematic and Information Science Shaanxi Normal University Xian, Shaanxi, China
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
2201-2204
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）