计算机工程与应用Issue(5)：183-186,4.DOI:10.3778/j.issn.1002-8331.1304-0316
基于改进形态学算子的木粉边缘检测算法
Edge detection algorithm of wood-flour based on modified morphological operator
摘要
Abstract
Since a wood-flour microscopic image usually contains complex edge, fuzzy boundary and so on, an edge detec-tion method based on object extraction and modified mathematic morphological multi-scale operator in the color space of HSV is proposed. This method extracts objects for avoiding background noise interference, and gains better wood-flour edge based on traditional multi-scale morphological operator combined with the best direction detection without the weight choice of the multi-direction detection. The experimental results demonstrate that morphological operator is better than traditional canny operator. The modified operator proposed contributes to a distinct edge detection result, improving detection accuracy as well as the capability of edge positioning.关键词
木粉/边缘检测/HSV颜色空间/目标提取/形态学多尺度算子Key words
wood-flour/edge detection/HSV color space/object extraction/morphological multi-scale operator分类
信息技术与安全科学引用本文复制引用
任洪娥,刘冕,董本志..基于改进形态学算子的木粉边缘检测算法[J].计算机工程与应用,2015,(5):183-186,4.基金项目
哈尔滨市科技创新人才研究专项资金项目（No.2012RFXXG010）。 （）
