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摘要:
Different types of trash in ginned cotton lint seriously affect the grade of textile materials and the quality of the final woven product. In this work, hyper-spectral imaging operated in reflectance mode in a spectral region from 422 to 982 nm was studied to detect light color, white, colorless and fine foreign materials on the surface of the ginned cotton. The foreign materials include gray, white and transparent polypropylene fiber, black human hair, black and white pig hair, black and transparent PE mulching film. Traditional methods of dimension reduction of hyper-spectral image were applied to obtain the potential images. Image enhancement of medial filter and edge detection based on Sobel operator were initially selected for segmentation of the potential images. Subsequently,‘dilation’and‘erosion’morphological operation were carried out to separate the targets from the background. An area filter was finally used to remove noise and small components of suspected non-target in binary images. The overall recognition accuracies for all foreign materials in the training and independent test sets were up to 73.2%and 75.3%, respectively. More than 93%of recognition rate for gray polypropylene fiber and black hairs were achieved. No fewer than 80% of white polypropylene fibers were accurately segmented. Although the recognition rate for transparent polypropylene fibers, transparent PE mulching film, and white pig hair were relatively low, our work starts a new attempt to detect these foreign materials of ginned cotton. The study has shown that the hyper-spectral imaging system can provide more subtle spatial and spectral information for segmentation and recognition of some foreign materials of ginned cotton, like white polypropylene fibers.
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篇名 Detection of foreign materials on surface of ginned cotton by hyper-spectral imaging
来源期刊 农业工程学报 学科 工学
关键词 hyper-spectral imaging ginned cotton foreign materials detection
年,卷(期) 2012,(21) 所属期刊栏目
研究方向 页码范围 126-134
页数 分类号 TS101.3|TP181
字数 语种 中文
DOI 10.3969/j.issn.1002-6819.2012.21.018
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同被引文献  (61)
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研究主题发展历程
节点文献
hyper-spectral imaging
ginned cotton
foreign materials
detection
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期刊影响力
农业工程学报
半月刊
1002-6819
11-2047/S
大16开
北京朝阳区麦子店街41号
18-57
1985
chi
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