| 原棉疵点及杂质的检测方法研究与应用 |
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| 引用本文： | 赵西娜,邓中民. 原棉疵点及杂质的检测方法研究与应用[J]. 纺织科技进展, 2013, 0(6): 26-28 |
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| 作者姓名： | 赵西娜 邓中民 |
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| 作者单位： | 武汉纺织大学纺织科学与工程学院,湖北武汉430200 |
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| 摘 要： | 采用数字图像处理技术对原棉疵点杂质进行检测与识别。利用自适应阈值分割的方法对目标图像进行分割及轮廓提取，并根据目标图像的相关特征值，提出了离心率与面积周长之比相结合的人工智能分析方法对原棉疵点杂质进行识别分类，取得了很好的效果。
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| 关 键 词： | 棉花疵点 分类 图像识别 特征提取 |
Research and Application of Defects and Impurities Detection Method of Raw Cotton |
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| ZHAO Xi-na,DENG Zhong-min. Research and Application of Defects and Impurities Detection Method of Raw Cotton[J]. Progress in Textile Science & Technology, 2013, 0(6): 26-28 |
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| Authors: | ZHAO Xi-na DENG Zhong-min |
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| Affiliation: | (Textile Institute of Science and Engineering, Wuhan Textile University, Wuhan 430200, China) |
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| Abstract: | The digital image processing technology was adopted to detect the impurities and defects of raw cotton. The adaptive threshold segmentation method was used for the target image segmentation and contour extraction. An artificial intelligence analysis method combination eccentricity with area＆perimeter according to the relevant characteristics value of the target image was proposed to classify and identify the impurities and defects of raw cotton. The good effect on the recognition and classification of raw cotton impurities and defects was obtained. |
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| Keywords: | cotton defects classification image recognition feature extraction |
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