数学形态学边缘检测法及其对棉麻自动识别的应用

MATHEMATICAL MORPHOLOGICAL EDGE DETECTION AND ITS APPLICATION TO AUTOMATIC RECOGNITION OF COTTON FIBER AND RAMIE FIBER

本文运用数学形态学方法提取棉麻纤维纵向投影图的边缘,然后按作者定义的形态特征参数外切矩形充满度对棉、麻纤维进行自动识别与分类,并计算出相应的混纺比。测试结果显示,本文的方法可达到较高的精度。

A new method-mathematical morphogy for detecting the edge of vertical projection image of cotton and flax fiber is proposed. With a new feature parameter, % filling pf externally tangential rectangle. The cotton and flax fibers are distinguished and classified automatically. Finally the relevant blending ratio is also calculated. The test results show that the new method gives a higher precision and better recognition.