摘要
阐述了数学形态学的原理和方法,研究了数学形态学在带钢表面缺陷图像滤波和边缘检测中的应用,通过与传统滤波方法和边缘检测方法的对比,表明基于多结构元素的数学形态学方法不仅能有效滤除噪声、检测弱小目标在内的图像的边缘,而且还具有较强的抗噪性能。
The principles of mathematical morphology was described, the application of the mathematical morphology on the steel strip surface defect image in filtering and edge detection were studied. Through compared with the traditional filtering methods and edge detection methods, it shows that the method of mathematical morphology based on multi-structure elements not only can effectively filter out the noise and detect the image edge including small targets, but also has strong anti-noise performance.
出处
《钢铁研究学报》
CAS
CSCD
北大核心
2010年第10期56-59,共4页
Journal of Iron and Steel Research
基金
国家自然科学基金资助项目(60705012)
关键词
带钢表面缺陷
数学形态学
多结构元素
滤波
边缘检测
steel strip surface defect
mathematical morphology
multi-structure element
filtering
edge detection
