Research on Conjoint Grains of Rice based on Machine Vision

摘要：

In this paper, a new watershed algorithm based on prior knowledge is presented for the recognition of binary images of conjoint grains of rice by machine vision. First, an algorithm for component labeling is used to find whole com ponents of the conjoint grains of rice in each binary image. After the components of all the single grains are removed from each binary image according to their area threshold (AT), only the components of the conjoint grains remain, which are marked by Ms. The remaining components of the conjoint grains are then separated from each other by the watershed algorithm where the threshold (ET) of the efficient erosion times is set, and the corresponding segmented components are marked by Mc. Finally, the union of Ms and Mc is considered as the result of recognition of binary images with conjoint grains. Over 95％ of connected rice particles are correctly segmented, which indicates that the proposed method is valid and efficient.

关键词： Machine Vision Rice Conjoint grains Watershed Algorithm

作者: Dai Xiaopeng Xiong Dahong

作者单位: School of Information Science & Technology Hunan Agricultural University ChangSha ,China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 1600-1603

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）