吉林农业大学学报2012，Vol.34Issue(4)：459-463,467,6.
基于粗糙集的迭代阈值选择的玉米苗期背景分割算法研究
Research on Background Segmentation of Corn Seedling Stage Based on Rough Set for Iterative Threshold Selection
摘要
Abstract
According to rough set and iterative threshold, the algorithm based on rough set for iterative threshold selection was proposed first and applied for the image of com seedling stage. Fuzzy characterization of rough set was applied for the boundary between background and object, and iterative threshold was used to select threshold to segment. The experiment show that the segmention time of the classical iterative threshold is 0.469 s, the improved algorithm can rapidly, accurately and effectively perform segmentation and the segmention time is 0.374 s. It can satisfy the request of real-time agricultural intelligence production.关键词
粗糙集/阈值迭代/背景分割/玉米苗期Key words
rough set/iterative threshold/image segmentation/com seedling stage分类
信息技术与安全科学引用本文复制引用
徐月,徐艳蕾,黄东岩..基于粗糙集的迭代阈值选择的玉米苗期背景分割算法研究[J].吉林农业大学学报,2012,34(4):459-463,467,6.基金项目
吉林省教育厅“十一五”科学技术研究项目(201039),吉林农业大学校内科研启动基金项目(201020),“十二五”国家支持计划课题项目(2011BAD20B09) （201039）
