摘要： 为了使纱线质量检测自动化，提出一个高效的基于纹理分析的自动判别算法。算法主要由图象预处理，特征提取和判别函数组成。它能快速实时对纱线检验图象进行正确的质量分级。

关键词: 图象识别, 数据压缩, 灰度变换, 特征提取, 判别函数

Abstract: In order to improve the automatic level of the testing of yarn quality, an efficient and automatic classification algorithm based on texture analysis is proved in this paper. The algorithm mainly includes image pre-processing, feature extraction and a classification function. It can quickly and correctly class the yarn by analyzing the image of the yarn.

中图分类号: 

• TP391.4