Image classification with adaptive processing of BSP image representation

Siu-Yeung Cho, Z. Chi, W. Siu
{"title":"Image classification with adaptive processing of BSP image representation","authors":"Siu-Yeung Cho, Z. Chi, W. Siu","doi":"10.1109/ICOSP.2002.1181208","DOIUrl":null,"url":null,"abstract":"Image content representation is still a challenging problem in the field of image processing. In this paper, a binary space partition (BSP) tree structure image representation incorporating with adaptive processing of data structures is presented. This tree structure representation is robust to preserve the scene semantics of image contents. Promising results were achieved when our approach was tested on the classification of natural scenery images.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"118 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International Conference on Signal Processing, 2002.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.2002.1181208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Image content representation is still a challenging problem in the field of image processing. In this paper, a binary space partition (BSP) tree structure image representation incorporating with adaptive processing of data structures is presented. This tree structure representation is robust to preserve the scene semantics of image contents. Promising results were achieved when our approach was tested on the classification of natural scenery images.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于自适应处理的BSP图像分类
在图像处理领域,图像内容表示一直是一个具有挑战性的问题。本文提出了一种结合数据结构自适应处理的二叉空间划分(BSP)树结构图像表示方法。这种树状结构表示在保留图像内容的场景语义方面具有鲁棒性。将该方法应用于自然风景图像的分类中,取得了令人满意的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Study on canceling intersymbol interference of inverse-GPS Analysis of non-stationary electroencephalogram using the wavelet transformation Generalized kernel function Fisher discriminant for pattern recognition Investigations on distance coding in 3D sound fields Research and implementation of computer simulation system for neural networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1