棉纺织技术2025，Vol.53Issue(3)：44-49,6.
基于引导滤波和局部异质性度量的生丝疵点检测
Raw silk defect detection based on guided filtering and local heterogeneity measurement
摘要
Abstract
In view of the fact that the difference between the background and defects of raw silk defect images was extremely small,a raw silk defect detection method based on guided filtering and local heterogeneity measurement was proposed.Firstly,guided filter was used to suppress the raw silk defects and preserve the edges of the background.Secondly,local heterogeneity was used to further suppress the background and enhance the defects.According to the proportion of local structure information,the structural heterogeneity of the defect and background was measured,and the background was suppressed as much as possible.The local gray difference measure was constructed to highlight the defects.Finally,sub-block adaptive threshold segmentation was used for defect segmentation.The raw silk defect images were divided into 300 pieces of bright background image data set PQL-1 and 300 pieces of dark background image data set PQL-2.The results show that the detection rate of the algorithm was 86.9%and 85.7%in bright and dark background,the false alarm rate was 15.9%and 12.3%,respectively,which has better scene robustness.关键词
生丝/疵点检测/引导滤波/局部异质性度量/子块自适应分割Key words
raw silk/defect detection/guided filtering/local heterogeneity measurement/sub-block adaptive segmentation分类
轻工纺织引用本文复制引用
卢鸯,杨言语,韦世界,韩高锋,曾凡高,李子印..基于引导滤波和局部异质性度量的生丝疵点检测[J].棉纺织技术,2025,53(3):44-49,6.基金项目
国家市场监督管理总局科技计划项目(2022MK048) （2022MK048）
浙江省市场监督管理局青年科技项目(QN2023446) （QN2023446）
浙江省基础公益研究计划项目(LGN20F50001) （LGN20F50001）
