摘要
烟叶图像的边缘提取是利用计算机进行烟叶检测与分级的关键步骤。为了能够在提取边缘的同时保留图像的边缘细节信息,该文针对CCD获取的烟叶原始图像,利用灰度形态学的算法,构造了全方位的结构元素进行边缘的提取。实验证明,基于灰度形态学腐蚀变换的边缘检测算法是有效的。
Edge extraction in tobacco leaf image is the key step in tobacco leaf detecting and grading using computer technology. In order to extract edge and keep detailed edge information, the original tobacco leaf images obtained by CCD camera are studied. Omni-directional structure element is structured to detect edge according to the grayscale morphology arithmetic. Efficiency of edge detection based on the grayscale morphology erode transform is proved by experimental results.
出处
《计算机工程》
CAS
CSCD
北大核心
2007年第21期163-165,共3页
Computer Engineering
基金
国家自然科学基金资助项目(70471046)
教育部博士点基金资助项目(20040359010)
合肥工业大学科学研究发展基金资助项目(040301F)
关键词
灰度形态学
结构元素
边缘检测
烟叶
grayscale morphology
structure element
edge detection
tobacco leaf
