摘要
根据GMAW焊的特点,建立焊接熔池图像传感系统,获取了清晰的熔池图像,并对焊缝熔池图像的特征进行分析。采用自适应维纳滤波、GAMMA值增强和Otsu阈值分割进行图像预处理,并采用形态学开运算和Prewitt边缘检测算子对图像进行了后处理。结果表明,这套算法能够对熔池图像进行有效地处理,获得清晰完整的熔池边缘。
According to the characteristics of GMAW （ Gas Metal Arc Welding）, an image sensing system of the molten pool was established. Through large numbers of experiments, the clear weld pool image was obtained. After analysis of the molten pool, Wiener filter processing, GAMMA enhancement and Otsu liminal division are used in pre-proeessing, morphological opening method and Prewitt edge detection operator are also used, and the clear edge of molten pool is obtained.
出处
《机械科学与技术》
CSCD
北大核心
2008年第10期1199-1201,1206,共4页
Mechanical Science and Technology for Aerospace Engineering
基金
天津市自然科学基金重点项目
天津市教委科技发展基金项目(05YFJZC02100)资助
关键词
GMAW焊
熔池
图像传感系统
图像处理
GMAW welding
molten pool
vision sensing system
image processing
