An Automatic Segmentation Algorithm for Touching Rice Grains Images

摘要：

An automatic segmentation algorithm for touching rice grains images was proposed. Original gray image from rice inspection system was transformed into binary image and the edges of touching grains were extracted and de-noising was operated. This algorithm detected concave corner points of touching rice grains by a sector area and found corner point pairs by the shortest Euclidean distance. The touching rice grains were segmented by the line segment which connected two corner point pair. This algorithm was efficient to segment touching long- and round- shape rice grains.

作者: Qing Yao Yingfeng Zhou Jiangning Wang

作者单位: College of Informatics and Electronics Zhejiang Sci-Tech University Hangzhou, 310018, China Institute of Zoology Chinese Academy of Sciences Beijing, 100101, China

会议类型: 国际会议

会议名称: 2010 International Conference on Audio,Language and Image Processing(2010年音频、语言与图像处理国际会议 ICALIP 2010)

会议地点: 上海

会议语种:英文

页码: 802-805

在线出版日期: 2010-11-23（万方平台首次上网日期，不代表论文的发表时间）