特征点提取算法在作物病原镰刀菌图像识别中的应用  

Application of Characteristic Point Extraction Algorithm in the Image Identification of Fusarium in Crops

作　　者：王国斌[1] 赵艳[1] 吕晶[1] 金花[1] 刘丽娟[1] 

机构地区：[1]河北农业大学,河北保定071001

出　　处：《安徽农业科学》2010年第6期3280-3281,共2页Journal of Anhui Agricultural Sciences

基　　金：河北省教育厅资助项目(2006433)

摘　　要：提出一种针对镰刀菌图像的特征点提取的算法。该算法利用Harris算子提取待匹配图像以及基准图像的特征点,利用Hausdorff距离方法进行度量优化,从而从基准图像找到待匹配图像。试验证明,该算法可以有效地对镰刀菌图像进行检索与匹配。A kind of algorithm for the characteristic point extraction Fusarium image was proposed.Harris algorithm was used to extract the the characteristic point of matching images and reference images.And they were optimized by using Hausdorff distance method,so as to find out matching image from reference images.The test showed that the algorithm could search and match the images of Fusarium effectively.

关 键 词：镰刀菌图像 Harris特征点 HAUSDORFF距离 检索 匹配 

分 类 号：S182[农业科学—农业基础科学]