基于混沌优化K均值算法的马铃薯芽眼的快速分割（英文）.pdf

第 35 卷 第 5 期 农 业 工 程 学 报 Vol.35 No.5 190 2019 年 3 月 Transactions of the Chinese Society of Agricultural Engineering Mar. 2019 Fast segmentation on potato buds with chaos optimization-based K-means algorithm 1 1※ 2 Xi Rui , Hou Jialin , Li Licheng (1. College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai’an 271018, China; 2. Department of Mechanical and Electronic Technical Engineering, Taishan Vocational and Technical College, Tai’an 271000, China) Abstract: Accurate segmentation of the potato buds is the premise of seed potatoes automatic cutting. In order to improve the accuracy of buds segmentation, the fast segmentation on potato buds with chaos optimization-based K -means algorithm was realized in this paper. K-means algorithm has the merits of effectiveness and easy to implement, while the problem of easily trapping into the local optima hinders its accuracy of clustering. Chaotic systems can carry out overall searches by chaotic variables at high speed with ergodicity and non-repetition. The main idea of the proposed algorithm was searching with chaotic variables by mapping them into the range of the variables in K-means algorithm and eventually achi