n Online Image Segmentation Method for Foreign Fiber Detection in Lint

摘要：

The image of lint containing foreign fiber features that the background (cotton fiber) is homogeneous and has a normal gray-level distribution; the object (foreign fiber) is smaller, darker than the background but its gray-level distributes is a wide range. In this paper, a Background Estimation Threshold-ing(BET) method is presented to segment the objects from such kind of images. The segmented objects will be used to determine the existence and measure the quantity of foreign fiber. The experimental results show that the BET is effective and fast, and can be used in the online foreign fiber inspection in volumes of lints.

关键词： Image segmentation Thresholding Cotton Foreign fiber.

作者: Daohong Kan Daoliang Li Wenzhu Yang Xin Zhang

作者单位: College of Information & Electrical Engineering,China Agricultural University, Beijing 100083, P.R. China

会议类型: 国际会议

会议名称: The 4th IFIP International on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information(第四届国际计算机及计算机技术在农业中的应用研讨会暨第四届中国农业信息化发展论坛 CCTA 2010)

会议地点: 南昌

会议语种:英文

页码: 701-709

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）