Surface Image Feature Extraction of Laminated Flooring Based on Texture Analysis

摘要：

Extracting surface image features of defective laminated flooring correctly and efficiently is the base of detecting its product quality which makes use of machine vision technology. Through the method of texture analysis, this article applies the Gray Level Co-occurrence Matrix (GLCM) to extract image features from a particular series of multiple defective images of laminated flooring. We acquire four principal eigenvalues that describe image texture, namely the energy, contrast, relevance, entropy. The experimental data show that the four eigenvalues can better reflect and express the main defects of laminated flooring.

关键词： image processing laminated flooring feature extraction texture analysis GLCM

作者: Bin Liu Xiaochen Dong Ning Han

作者单位: College of Engineering,Beijing Forestry University Beijing, China

会议类型: 国际会议

会议名称: 2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics 第三届智能人机系统与控制论国际会议 IHMSC 2011

会议地点: 杭州

会议语种:英文

页码: 188-191

在线出版日期: 2011-08-26（万方平台首次上网日期，不代表论文的发表时间）