基于改进OTSU法的原棉破籽类杂质快速检测Rapid detection of raw cotton seed-breaking impurities using improved OTSU method
齐英兰;
摘要(Abstract)：
针对原棉破籽类杂质视觉检测中OTSU方法最佳阈值难以确定的问题，提出基于粒子群优化最佳阈值的杂质检测方法。首先对图像进行灰度变换，去除图像中冗余信息与噪声数据，然后将类间方差设置为目标函数模型，通过动态调整惯性权重因子与自适应动态调整学习因子进行优化，迭代整个群体的全局最优位置和粒子自身的历史最优位置，进而求解最大类间方差，获取最优图像分割阈值。实验结果表明：与OTSU方法相比，改进OTSU方法的杂质检测相对误差平均降低2.74%,检测到的杂质边缘信息能够有效表征杂质像素属性，杂质边缘描述清晰明确，适用于原棉破籽类杂质快速检测。
关键词(KeyWords)： 原棉;杂质;破籽;OTSU;视觉检测
基金项目(Foundation): 国家重点研发计划项目(2016YFF0201902)
作者(Authors): 齐英兰;
DOI: 10.19333/j.mfkj.20220105705
参考文献(References)：
- [1] 国家统计局.国家统计局关于2021年棉花产量的公告.[EB/OL].[2021-12-14].http://www.stats.gov.cn/xxgk/sjfb/zxfb2020/202112/t20211214_1825249.html.National Bureau of Statistics.Bulletin of the national bureau of statistics on cotton production in 2021.[EB/ OL].http:// www.stats.gov.cn/xxgk/sjfb/zxfb2020/202112/t20211214_1825249.html.
- [2] 曹吉强，徐红.棉花初加工对机采棉杂质及棉结影响程度研究[J].现代纺织技术，2019,27(6):21-25.CAO Jiqiang,XU Hong.Study on the influence degree of ginning process on impurities and neps in machine picked cotton[J].Advanced Textile Technology,2019,27(6):21-25.
- [3] 杨凡，熊伟.原棉杂质成因与棉纱织物质量[J].纺织器材，2021,48(3):45-48.YANG Fan,XIONG Wei.The causes of impurities in raw cotton and the quality of cotton yarn and fabric[J].Textile Accessories,2021,48(3):45-48.
- [4] 周红.棉花检验仪器测量误差分析与处理探析[J].纺织报告，2021,40(2):5-6.ZHOU Hong.Analysis on error and treatment of cotton inspection instrument[J].Textile Reports,2021,40(2):5-6.
- [5] 李龙.基于改进Mobile-Net-V2的原棉杂质分类方法[J].毛纺科技，2021,49(2):83-88.LI Long.Raw cotton impurity classification method based on improved Mobile-Net-V2[J].Wool Textile Journal,2021,49 (2):83-88.
- [6] 王飞，靳向煜.基于边缘检测的原棉杂质图像识别方法适用性分析[J].现代纺织技术，2019,27(5):39-43.WANG Fei,JIN Xiangyu.Applicability analysis of raw cotton impurity image recognition based on edge detection algorithm [J].Advanced Textile Technology,2019,27(5):39-43.
- [7] 张志强，张太红，刁琦，等.一种改进GA神经网络棉花杂质检测算法[J].电子设计工程，2017,25(1):22-26.ZHANG Zhiqiang,ZHANG Taihong,DIAO Qi,et al.A cotton impurity detection algorithm based on improved genetic algorithm[J].Electronic Design Engineering,2017,25(1):22-26.
- [8] 黄仰东，邓中民.基于图像处理的原棉疵点识别方法[J].上海纺织科技，2020,48(7):47-50.HUANG Yangdong,DENG Zhongmin.Raw cotton defect recognition method based on image processing[J].Shanghai Textile Science & Technology,2020,48(7):47-50.
- [9] 娄联堂，何慧玲.基于图像灰度变换的OTSU阈值优化算法[J].中南民族大学学报(自然科学版),2021,40 (3):325-330.LOU Liantang,HE Huiling.OTSU threshold optimization algorithm based on image gray level transformation[J].Journal of South-Central Minzu University(Natural Science Edition),2021,40 (3):325-330.
- [10] 张蜀红.改进Otsu算法的镀锌板表面缺陷检测方法[J].计算机测量与控制，2021,29(12):57-61.ZHANG Shuhong.Surface defect detection method of galvanized sheet based on improved otsu algorithm[J].Computer Measurement & Control,2021,29(12):57-61.