The Edge Extraction of Yellow River model Based on the Principle of SUSAN
This paper analyzes the principle and availability of SUSAN algorithm of edge detection. Based on this, a method based on improved SUSAN algorithm to extract the boundary features of the Yellow River Model images is put forward. The method utilizes the selfadaptive threshold of gray level difference, and then combines the method of increasing the boundary pixels contrast to set a geometric threshold of its ups and collars. Finally, automatic identification and extraction of the Yellow River boundary is achieved. Experiments show that this method of edge extraction is good for de-noising. Its boundary is clear, true, meticulous, and location is accurate. It is convenient to measure parameters of the feature extraction, target recognition and matching for the next step.
Yellow River model SUSAN the threshold value of selection Contrast
Zhao Jian-jun Li He-lin Yu Heng QI Feng
Institute of Advanced Control and Intelligent Information Processing,Henan University Kaifeng, Henan Institute of Advanced Control and Intelligent Information Processing.Henan University Kaifeng, Henan
国际会议
武汉
英文
288-291
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）