Edge Detection in Tobacco Leaf Image Based on Grayscale Morphology
Xiaojian Hu · Jisuanji gongcheng · 2007
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.