计算机工程2011，Vol.37Issue(8)：166-168,3.DOI:10.3969/j.issn.1000-3428.2011.08.057
基于多尺度LBP金字塔特征的分类算法
Classification Algorithm Based on Multi-scales LBP Pyramid Feature
摘要
Abstract
In order to effectively solve the rotation changes, lighting changes and scale changes in the problem of image classification difficulties,a novel image classification algorithm based on multi-scales Local Binary Pattem(LBP) pyramid feature is proposed.It builds a multi-scales LBP pyramid to extract image texture features.It makes up the multi-scales LBP pyramid histograms by the extracted features.The dimensionality of multi-scales LBP pyramid histograms is reduced by kmeans clustering for image classification.The analysis of experimental results proves that the proposed algorithm has better discriminative power and image description ability.Furthermore, aiming at the drawback of convention weighting scheme based on the binary feature matching, it also proposes a new weighting scheme named multi-dominant feature weighting.Experimental results show this method actually improves the performance of classification.关键词
多尺度LBP金字塔/图像分类/多端权值分配/特征向量Key words
Multi-scales Local Binary Pattern(LBP) pyramid/ image classification/ multi-dominant weighting distribution/ feature vector分类
信息技术与安全科学引用本文复制引用
梁鹏,何俊诗,黎绍发..基于多尺度LBP金字塔特征的分类算法[J].计算机工程,2011,37(8):166-168,3.基金项目
国家自然科学基金资助项目(60273064) （60273064）
广东省工业攻关计划基金资助项目(2004B10101032) （2004B10101032）
