计算机工程与应用2012，Vol.48Issue(27)：164-168,243,6.DOI:10.3778/j.issn.1002-8331.2012.27.035
基于Contourlet变换的多方向织物疵点边缘检测
Multi-directional edge detection of fabric defect based on Contourlet transform
赵静 1于凤芹 1孙艳1
作者信息
- 1. 江南大学物联网工程学院,江苏无锡214122
- 折叠
摘要
Abstract
Edge detection of fabric defect based on wavelet transform can get edge information only in the direction of horizontal, vertical and diagonal, likely to cause loss of directional edge. An edge detection method based on Contourlet transform is proposed. The high frequency sub-band coefficients are denoised on each direction of Contourlet transform using adaptive threshold. Maximum modulus coefficients are found in each scale and direction. Edge of defects is obtained through inverse transform of maximum modulus coefficients and low frequency coefficients. Refinement is given though histogram statistics and isolated points are removed. Simulation results show the method obtains a more detailed edge defect information. Particularly the detect results more upon to the original blemish are got.关键词
织物疵点/多方向/边缘检测/自适应阈值Key words
fabric defect/ multi-directional/ edge detection/ adaptive threshold分类
信息技术与安全科学引用本文复制引用
赵静,于凤芹,孙艳..基于Contourlet变换的多方向织物疵点边缘检测[J].计算机工程与应用,2012,48(27):164-168,243,6.
