图像显著性问题及其应用

Dana E. Ilea Ghita
{"title":"图像显著性问题及其应用","authors":"Dana E. Ilea Ghita","doi":"10.1109/OPTIM-ACEMP50812.2021.9590045","DOIUrl":null,"url":null,"abstract":"In recent years, the research area of saliency analysis and Salient Object Detection (SOD) has been intensively investigated by the computer vision community. This paper explores the main directions of research in SOD by categorizing the important published works with regard to the proposed saliency extraction mechanism. Another aim of this paper is to provide details regarding specific application areas. An investigation into a highly active and prioritized medical problem, namely melanoma segmentation in skin cancer images using saliency is also analyzed. To advance the research scope of this paper, existing databases, benchmarks and metrics used in the performance evaluation are presented and discussed.","PeriodicalId":32117,"journal":{"name":"Bioma","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Image Saliency Problem and its Applications\",\"authors\":\"Dana E. Ilea Ghita\",\"doi\":\"10.1109/OPTIM-ACEMP50812.2021.9590045\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, the research area of saliency analysis and Salient Object Detection (SOD) has been intensively investigated by the computer vision community. This paper explores the main directions of research in SOD by categorizing the important published works with regard to the proposed saliency extraction mechanism. Another aim of this paper is to provide details regarding specific application areas. An investigation into a highly active and prioritized medical problem, namely melanoma segmentation in skin cancer images using saliency is also analyzed. To advance the research scope of this paper, existing databases, benchmarks and metrics used in the performance evaluation are presented and discussed.\",\"PeriodicalId\":32117,\"journal\":{\"name\":\"Bioma\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bioma\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OPTIM-ACEMP50812.2021.9590045\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioma","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OPTIM-ACEMP50812.2021.9590045","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

近年来,显著性分析和显著性目标检测(SOD)的研究领域受到计算机视觉界的广泛关注。本文通过对已发表的关于显著性提取机制的重要文献进行分类,探讨了SOD的主要研究方向。本文的另一个目的是提供具体应用领域的细节。对一个高度活跃和优先医疗问题的调查,即黑色素瘤分割皮肤癌图像使用显著性也进行了分析。为了扩大本文的研究范围,本文介绍并讨论了绩效评估中使用的现有数据库、基准和指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Image Saliency Problem and its Applications
In recent years, the research area of saliency analysis and Salient Object Detection (SOD) has been intensively investigated by the computer vision community. This paper explores the main directions of research in SOD by categorizing the important published works with regard to the proposed saliency extraction mechanism. Another aim of this paper is to provide details regarding specific application areas. An investigation into a highly active and prioritized medical problem, namely melanoma segmentation in skin cancer images using saliency is also analyzed. To advance the research scope of this paper, existing databases, benchmarks and metrics used in the performance evaluation are presented and discussed.
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
20
审稿时长
24 weeks
×
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