籽棉中异性纤维的双光源成像检测方法

针对现有的异纤清理机无法彻底清除异性纤维的问题，提出了一种在籽棉轧花前对异性纤维进行检测的方法。以清除了铃壳、茎、叶等有机杂物的籽棉和常见的21种有色及白色异纤为检测样本，在白色LED和红色线激光双光源照明获取图像，在RGB颜色空间的Ｒ 通道和HSI颜色空间的S通道利用改进的索贝尔（Sobel）边缘检测算法检测异纤。同时在S通道利用一维最大熵法以提高异纤检测率。实验结果表明：采用的双光源照明成像方法和图像处理算法可减少阴影等干扰，白色异纤的检出率可达到74.7%，有色异纤的检出率可达到70.8%，为籽棉中异性纤维的检测提供了参考和借鉴。

Detecting method of foreign fibers in seed cotton using double illumination imaging

Aiming to improve the efficiency of detecting the foreign fibers,a new approach of detecting foreign fibers in cleaned seed cotton before the ginning stage was proposed.In the experiment,cleaned seed cotton,in which organic impurities such as boll shells,stems and leaves were removed,and 21 kinds of common white or color foreign fibers were used as detection samples.Images were acquired under the double illumination of white LED and red line-laser.Then,an improved Sobel edge detection algorithm was used in the Red channel of RGB color space and the Saturation channel in HSI color space separately.And a one-dimension maximum entropy thresholding method was also implemented in the Saturation channel for increasing the successful detecting rate.Experiment results indicate that the double illumination imaging method and the image processing algorithm reduce interference such as shadows.The successful detecting rates of white and color foreign fibers are up to 74.7％ and 70.8％,respectively.This paper provides a reference for detecting foreign fibers in seed cotton.