基于TMS320C5509A的织物疵点检测技术研究  

Research of Fabric Defect Detection Based on TMS320C5509A

作　　者：张莹莹[1] 韩润萍[1] 刘亚侠[1] 

机构地区：[1]北京服装学院信息工程学院,北京100029

出　　处：《北京服装学院学报（自然科学版）》2014年第2期54-58,75,共6页Journal of Beijing Institute of Fashion Technology：Natural Science Edition

基　　金：北京市教委科技创新平台项目"织物检测技术与装置研发创新平台"(编号:PXM2014_014216_000059)

摘　　要：织物疵点检测是纺织品生产过程中进行质量控制的重要环节.织物疵点自动检测与分类问题也是计算机视觉领域的研究热点.本文在以TMS320C5509A DSP芯片为核心的开发平台上研究了prewitt算子、sobel算子及1种基于模板的检测算法在织物疵点检测中的应用.利用DSP集成开发环境CCS,分别对3种算法进行验证.通过对检测结果的对比分析,得出该研究在实现织物疵点自动检测系统方面具有一定的实用性及参考价值.Fabric defect detection is important procedure for quality control in textile manufacturing industry. The automatic detection and classification for fabric defects have been a research focus in computer vision field. Based on TMS320C5509A DSP chip, the prewitt operator, sobel operator and template-based algorithm are applied in the fabric defect detection. Simulation experiments are re- spectively implemented for three kinds of algorithms using the Code Composer Studio. The compari- son and analysis of the detection results show that the research work in this paper has some practical- ity and reference value on realizing automatic detection of fabric defect.

关 键 词：疵点检测 TMS320C5509A DSP CCS 模板算子 

分 类 号：TP242.62[自动化与计算机技术—检测技术与自动化装置]