An Online Image Segmentation Method for Foreign Fiber Detection in Lint

被引：0
|
作者：
Kan, Daohong [1 ]
Li, Daoliang [1 ]
Yang, Wenzhu [1 ]
Zhang, Xin [1 ]
机构：
[1] China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China
来源：
COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE IV, PT 4 | 2011年 / 347卷
关键词：
Image segmentation; Thresholding; Cotton; Foreign fiber; HISTOGRAM; ENTROPY;
D O I：
暂无
中图分类号：
S [农业科学];
学科分类号：
09 ;
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 Thresholding(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.
引用
收藏
页码：701 / 709
页数：9
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