光电监控系统接收异构图像色调校正的可能性

O. Klimishen, S. Berezina, Y. Kozhushko, I. Vasil'eva
{"title":"光电监控系统接收异构图像色调校正的可能性","authors":"O. Klimishen, S. Berezina, Y. Kozhushko, I. Vasil'eva","doi":"10.1109/MMET.2018.8460347","DOIUrl":null,"url":null,"abstract":"The paper analyses some challenges, that arise at processing of composite images. It classifies the factors influencing tone intensity of images received by optoelectronic surveillance systems. An approach for tone correction of heterogeneous images is substantiated. The paper proves that for investigation of changes in color properties of multi-tone images the hue-saturation-value (HSV) color model is more appropriate.","PeriodicalId":343933,"journal":{"name":"2018 IEEE 17th International Conference on Mathematical Methods in Electromagnetic Theory (MMET)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On the Possibility of Tone Correction of Heterogeneous Images Received by Optoelectronic Surveillance Systems\",\"authors\":\"O. Klimishen, S. Berezina, Y. Kozhushko, I. Vasil'eva\",\"doi\":\"10.1109/MMET.2018.8460347\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper analyses some challenges, that arise at processing of composite images. It classifies the factors influencing tone intensity of images received by optoelectronic surveillance systems. An approach for tone correction of heterogeneous images is substantiated. The paper proves that for investigation of changes in color properties of multi-tone images the hue-saturation-value (HSV) color model is more appropriate.\",\"PeriodicalId\":343933,\"journal\":{\"name\":\"2018 IEEE 17th International Conference on Mathematical Methods in Electromagnetic Theory (MMET)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 17th International Conference on Mathematical Methods in Electromagnetic Theory (MMET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMET.2018.8460347\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 17th International Conference on Mathematical Methods in Electromagnetic Theory (MMET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMET.2018.8460347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

分析了合成图像处理中存在的一些问题。对影响光电监控系统接收图像色调强度的因素进行了分类。提出了一种非均匀图像色调校正方法。本文证明了对于研究多色调图像的色彩特性变化,色调-饱和度-值(HSV)色彩模型更为合适。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Possibility of Tone Correction of Heterogeneous Images Received by Optoelectronic Surveillance Systems
The paper analyses some challenges, that arise at processing of composite images. It classifies the factors influencing tone intensity of images received by optoelectronic surveillance systems. An approach for tone correction of heterogeneous images is substantiated. The paper proves that for investigation of changes in color properties of multi-tone images the hue-saturation-value (HSV) color model is more appropriate.
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