基于空间模型的棉花异性纤维识别算法

The cotton foreign fibers recognition algorithm based on RGB space model

为了准确识别棉花中的异性纤维,提出了基于空间模型的示教算法和检测算法.示教算法在RGB空间中采用灰度直方图对合格棉花进行特征提取,并以此建立空间模型.检测算法是通过判断像素点是否在合格棉花空间模型范围内来进行异纤识别的.仿真结果表明此算法能够比较准确地识别异纤.

For accurate identification of foreign fibers in cotton, space-based model of teaching algorithm and detection algorithm was proposed. In RGB color space, teaching algorithms use gray histogram feature extracting for the qualified cotton, and on this basis space model is established. Detecting algorithms identify foreign fibers based on whether the pixel point is within the qualified cotton space model. The simulation results show that this algorithm can accurately identify the foreign fibers.