基于成分金字塔匹配的对象分类方法

doi:10.6040/j.issn.1672-3961.2.2015.065

山东大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (2): 14-21.doi: 10.6040/j.issn.1672-3961.2.2015.065

基于成分金字塔匹配的对象分类方法

朱杰^1,2,王晶¹,刘菲³,高冠东¹,段庆¹

1. 中央司法警官学院信息管理系, 河北保定 071000;2. 北京交通大学计算机与信息技术学院交通数据分析与挖掘北京市重点实验室, 北京 100044;3.中央司法警官学院现代教育技术中心, 河北保定 071000

收稿日期:2015-05-16 出版日期:2016-04-20 发布日期:2015-05-16
作者简介:朱杰(1982— ),男,河北保定人,博士研究生,主要研究方向为机器学习,机器视觉. E-mail:arthurzhujie@gmail.com
基金资助:
国家自然科学基金资助项目(61033013,61370129,61375062,61300072,61105056,61402462);国家教育部博士点基金资助项目(20120009110006);中央高校基础科研业务经费北京市科委资助项目(Z131110002813118);河北省教育厅青年基金资助项目(QN2015099);2014年度全国司法行政系统理论研究规划课题资助项目(14GH2022);中国监狱工作协会监狱理论研究课题资助项目(2014YL41);河北省社会科学基金资助项目(HB15TQ013)

Object classification method based on component pyramid matching

ZHU Jie^1,2, WANG Jing¹, LIU Fei³, GAO Guandong¹, DUAN Qing¹

1. Department of Information Management, The Central Institute for Correctional Police, Baoding 071000, Heibei, China;
2. Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China;
3. Modern Educational Technology Center, The Central Institute for Correctional Police, Baoding 071000, Heibei, China

Received:2015-05-16 Online:2016-04-20 Published:2015-05-16

摘要/Abstract

摘要： 提出基于成分金字塔匹配(component pyramid matching, CPM)的图像表示方法,将图像块按照颜色进行分层,在每一层中通过优化的方式选取几种颜色的图像块作为当前层次图像的前景成分,其余颜色的图形块作为图像的背景成分。前景成分对应对象的某些区域,能够为图像表示提供弱语义信息。然后,利用相似的颜色选择方法,对每一层背景成分进行再次划分,将其分为下一层前景成分和背景成分两部分。最后将这些成分所表示的直方图连接起来作为图像表示用于分类。试验采用Soccer、Flower17和Flower102 3个图像集进行测评,试验结果表明提出的算法能够得到比较好的分类结果。

关键词: 图像表示, 成分金字塔匹配, 颜色, 分类, 层次

Abstract: The image representation method based on component pyramid matching(CPM)was proposed, which separated the patches into different levels based on colors. In each level, some colors were selected by the optimal color selection method, then the patches with these selected colors were considered as the foreground components, and the rest of the patches with other colors were considered as the background components. Usually, the foreground components corresponded to some parts of the objects, which could supply weak semantic information for the image representation. Then, the background components were split into the foreground and background components in the next level based on the similar color selection method. The final representation of an image was obtained by concatenating the component histograms in each level. Classification results were presented on Soccer, Flower17 and Flower102 datasets, and the experiments showed that CMP could obtain satisfactory results in these datasets.

Key words: level, image representation, classification, component pyramid matching, color

中图分类号:

TP301

朱杰,王晶,刘菲,高冠东,段庆. 基于成分金字塔匹配的对象分类方法[J]. 山东大学学报(工学版), 2016, 46(2): 14-21.

ZHU Jie, WANG Jing, LIU Fei, GAO Guandong, DUAN Qing. Object classification method based on component pyramid matching[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(2): 14-21.

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基于成分金字塔匹配的对象分类方法

Object classification method based on component pyramid matching

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