吉首大学学报（自然科学版）2017，Vol.38Issue(2)：47-51,5.DOI:10.3969/j.cnki.jdxb.2017.02.009
植物叶片图像边缘检测Canny/SUSAN算法比较
Comparison of Image Edge Detection Algorithms Canny/SUSAN for Plant Leaves
摘要
Abstract
Edge detection for plant leaf image is an important part of image recognition technology,and the selection of the image edge detection algorithm is closely correlated with the accuracy of leaf recognition.In this paper,the Canny algorithm and SUSAN algorithm are employed for plant leaf image edge detection of 10 kinds of plants with typical leaf shapes,and the objective evaluation and subjective analysis are carried out.It is demonstrated that leaf shapes and leaf vein features have significant effect on the effectiveness of the algorithms.Therefore,the selectivity of the two algorithms should be considered in practical applications.关键词
植物/叶片/图像/边缘检测/算法Key words
plant/leaf/image/edge detection/algorithm分类
信息技术与安全科学引用本文复制引用
张小琴,杨阔..植物叶片图像边缘检测Canny/SUSAN算法比较[J].吉首大学学报（自然科学版）,2017,38(2):47-51,5.基金项目
四川省教育厅自然科学基金资助项目(14ZB0337,13ZA0039) （14ZB0337,13ZA0039）
阿坝师范学院科研项目(ASB14-19) （ASB14-19）
