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基于流域算法的谷物籽粒图像分割技术
引用本文:凌云,王一鸣,孙明,张小超. 基于流域算法的谷物籽粒图像分割技术[J]. 农业机械学报, 2005, 36(3): 95-98
作者姓名:凌云  王一鸣  孙明  张小超
作者单位:中国农业大学信息与电气工程学院,博士生,100083,北京市;中国农业大学信息与电气工程学院,教授,博士生导师;中国农业大学信息与电气工程学院,副教授,博士;中国农业机械化科学研究院,研究员,100083,北京市
基金项目:“九五”国家科技攻关计划资助项目 (项目编号 :990 10 0 112 )
摘    要:为解决谷物外观品质检测过程中获取图像的籽粒粘连问题,提出了一种基于先验知识的流域分割算法。首先,设定合理的区域面积阈值Ath,标记并去除图像中的单个籽粒区域,结果记为M;然后,设定有效腐蚀次数Eth,对粘连籽粒区域进行流域分割,结果记为Mc;最后,取Ms与Mc的并集,作为分割结果。试验结果表明,该算法分割效果较好,分割精度达到95.4%。

关 键 词:谷粒  图像分割  流域算法  机器视觉
修稿时间:2003-06-18

Application of Watershed Algorithm to Paddy Image Segmentation
Ling Yun,Wang Yiming,Sun Ming,Zhang Xiaochao. Application of Watershed Algorithm to Paddy Image Segmentation[J]. Transactions of the Chinese Society for Agricultural Machinery, 2005, 36(3): 95-98
Authors:Ling Yun  Wang Yiming  Sun Ming  Zhang Xiaochao
Affiliation:1.China Agricultural University 2.Chinese Academy of Agricultural Me chanization Sciences
Abstract:A new watershed algorithm based on priori knowledge is presented in this paper, which was adapted to paddy imag e segmentation. Firstly, single seed regions are marked and removed from the clu stering paddy image according to single area threshold ( A th ), and the result image is marked M s . Then, the clustering seed regions are segmented by watershed algorithm according to effective erosion degree threshold ( E th ), and the segmented image is marked M c . Finally, the union of M s and M c is taken as the result image. The experimental results showed t hat the method was valid and efficient, and its precision reached 95.4%.
Keywords:Paddy   Image segmentation   Watershed algorit hm   Machine vision
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