棉纺织技术2024，Vol.52Issue(6)：63-68,6.
基于多参数Gabor滤波器融合和高斯差分的生丝疵点分割
Segmentation of raw silk defects based on multi-parameter Gabor filter fusion and difference of Gaussian
摘要
Abstract
In view of the small difference between background and defects of raw silk image,defect segmentation algorithm was proposed based on multi-directional and multi-frequency Gabor filter fusion and difference of Gaussian filter.According to the texture characteristics of defects,first of all,multi-directional defect Gabor filter images with specific frequency was fused based on maximum method.Gabor filter images with different frequencies were fused based on mean method.Then difference of Gaussian filter was used to highlight defects further.Finally,defects were separated from background by global threshold.Experimental results showed that the recall of the proposed algorithm was reached 93.2%and the proposed algorithm can segment defects accurately.关键词
生丝疵点分割/多参数融合/Gabor滤波器/高斯差分/全局阈值分割Key words
raw silk defect segmentation/multi-parameter fusion/Gabor filter/difference of Gaussian/global threshold segmentation分类
轻工业引用本文复制引用
杨言语,李子印,汪小东,叶飞,姚晓娟,金君,曾凡高..基于多参数Gabor滤波器融合和高斯差分的生丝疵点分割[J].棉纺织技术,2024,52(6):63-68,6.基金项目
浙江省市场监督管理局青年科技项目(QN2023446) （QN2023446）
国家市场监督管理总局科技计划项目(2022MK048) （2022MK048）
浙江省基础公益研究计划项目(LGN20F50001) （LGN20F50001）
