去除物体阴影的算法

Masrullizam Mat Ibrahim, Syed Abdul Rahman Al-Attas, Nor Zaidi Harun
{"title":"去除物体阴影的算法","authors":"Masrullizam Mat Ibrahim, Syed Abdul Rahman Al-Attas, Nor Zaidi Harun","doi":"10.1109/APACE.2007.4603888","DOIUrl":null,"url":null,"abstract":"During bright day light or under strong lighting condition, shadows will appear and be part of an object in image. Objectpsila shadow in images may cause problem to several important algorithm in the fields of image processing such as object recognition, segmentation and object tracking. Removing the shadows can greatly improve the result of the image processing. To tackle this problem then, this algorithm is divided into three parts; eliminating the surrounding objects of object focused, detecting shadows region and removing the objectpsilas shadow. This algorithm used moving object images to distinguish between object focusing and objects will be eliminated in an image. Support vector machine (SVM) was used to detect the shadow region which classify the image into shadow and non-shadow region. Matlab and Image Processing Toolbox were utilized and OSU-SVM was used as interface SVM to the Matlab environment.","PeriodicalId":356424,"journal":{"name":"2007 Asia-Pacific Conference on Applied Electromagnetics","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Removal of object’s shadow algorithm\",\"authors\":\"Masrullizam Mat Ibrahim, Syed Abdul Rahman Al-Attas, Nor Zaidi Harun\",\"doi\":\"10.1109/APACE.2007.4603888\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"During bright day light or under strong lighting condition, shadows will appear and be part of an object in image. Objectpsila shadow in images may cause problem to several important algorithm in the fields of image processing such as object recognition, segmentation and object tracking. Removing the shadows can greatly improve the result of the image processing. To tackle this problem then, this algorithm is divided into three parts; eliminating the surrounding objects of object focused, detecting shadows region and removing the objectpsilas shadow. This algorithm used moving object images to distinguish between object focusing and objects will be eliminated in an image. Support vector machine (SVM) was used to detect the shadow region which classify the image into shadow and non-shadow region. Matlab and Image Processing Toolbox were utilized and OSU-SVM was used as interface SVM to the Matlab environment.\",\"PeriodicalId\":356424,\"journal\":{\"name\":\"2007 Asia-Pacific Conference on Applied Electromagnetics\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 Asia-Pacific Conference on Applied Electromagnetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APACE.2007.4603888\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Asia-Pacific Conference on Applied Electromagnetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APACE.2007.4603888","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在明亮的白天光线或强照明条件下,阴影会出现,并成为图像中物体的一部分。图像中的目标阴影会给图像处理领域中的目标识别、分割和目标跟踪等重要算法带来问题。去除阴影可以大大提高图像处理的效果。为了解决这一问题,本算法分为三个部分;消除聚焦物体周围的物体,检测阴影区域,去除物体本身的阴影。该算法利用运动物体图像来区分物体聚焦和物体将在图像中被消除。使用支持向量机(SVM)检测阴影区域,将图像分为阴影区域和非阴影区域。利用Matlab和图像处理工具箱,使用OSU-SVM作为与Matlab环境的接口SVM。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Removal of object’s shadow algorithm
During bright day light or under strong lighting condition, shadows will appear and be part of an object in image. Objectpsila shadow in images may cause problem to several important algorithm in the fields of image processing such as object recognition, segmentation and object tracking. Removing the shadows can greatly improve the result of the image processing. To tackle this problem then, this algorithm is divided into three parts; eliminating the surrounding objects of object focused, detecting shadows region and removing the objectpsilas shadow. This algorithm used moving object images to distinguish between object focusing and objects will be eliminated in an image. Support vector machine (SVM) was used to detect the shadow region which classify the image into shadow and non-shadow region. Matlab and Image Processing Toolbox were utilized and OSU-SVM was used as interface SVM to the Matlab environment.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信