液晶与显示2016，Vol.31Issue(9)：882-888,7.DOI:10.3788/YJYXS20163109.0882
基于图像融合的木板表面缺陷检测研究
Wood surface defect detection based on image fusion
摘要
Abstract
This paper proposes a novel wood surface defect detection scheme based on image fusion to solve the detection of wood surface knots stained by colorants.This scheme picks up the infrared and visible images of the stained wood veneer.The weighted average scheme,PCA scheme,wavelet trans-form scheme and Laplacian pyramid scheme are used to fuse the original images.The fused images with different fusion schemes are compared and investigated carefully.Experiments indicate that fused images can identify the stained knots clearly,and the best outcomes are achieved by the Laplacian pyr-amid scheme.关键词
图像融合/缺陷检测/近红外图像/可见光图像Key words
image fusion/defect detection/infrared image/visible image分类
信息技术与安全科学引用本文复制引用
李漫丽,赵鹏..基于图像融合的木板表面缺陷检测研究[J].液晶与显示,2016,31(9):882-888,7.基金项目
国家自然科学基金面上项目(No．31670717) （No．31670717）
教育部中央高校基本科研业务费 E 类立项(No．2572014EB05)Supported by Notional Natural Science Foundation of China(No．31670717) （No．2572014EB05）
The E Project for the Foun-damental Research Founds for the Central University(No．2572014EB05) （No．2572014EB05）
