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Novel welding Image processing method based on fractal theory
引用本文:陈强,孙振国,肖勇,路井荣. Novel welding Image processing method based on fractal theory[J]. 中国焊接, 2002, 11(2): 95-99
作者姓名:陈强  孙振国  肖勇  路井荣
作者单位:TsinghuaUniversity,Beijing100084
摘    要:Computer vision has come into used in the fields of welding process control and automation.In order to improve precision and rapidity of welding image processing,a novel method based on fractal theory has been put forward in this paper,Compared with traditional methods.the image is preliminarily processed in the macroscopic regions then thoroughly analyzed in the miocroscopic regions in the new method,with which ,an image is divided up to some regions according to the different fractal characters of image edge,and the fuzzy regions including image edges are detected out ,then image edges are identified with Sobel operator and curved by LSM(Lease Square Method),Since the data to be processed have been decreased and the noise of image has been reduced ,it has been testified through experiments that edges of weld seam or weld pool could be recognized correctly and quickly.

关 键 词:不规则碎片理论 焊接 图象处理 边缘探测

Novel welding image processing method based on fractal theory
Abstract:Computer vision has come into used in the fields of welding process control and automation. In order to improve precision and rapidity of welding image processing, a novel method based on fractal theory has been put forward in this paper. Compared with traditional methods, the image is preliminarily processed in the macroscopic regions then thoroughly analyzed in the microscopic regions in the new method. With which, an image is divided up to some regions according to the different fractal characters of image edge, and the fuzzy regions including image edges are detected out, then image edges are identified with Sobel operator and curved by LSM (Lease Square Method). Since the data to be processed have been decreased and the noise of image has been reduced, it has been testified through experiments that edges of weld seam or weld pool could be recognized correctly and quickly.
Keywords:fractal theory  welding image processing  edge detection
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