The Effect of White Balance for Color Constancy on Visible Light

Toni Kusnandar, J. Santoso, K. Surendro
{"title":"The Effect of White Balance for Color Constancy on Visible Light","authors":"Toni Kusnandar, J. Santoso, K. Surendro","doi":"10.1145/3587828.3587850","DOIUrl":null,"url":null,"abstract":"Plant health conditions can be done by calculating the vegetation index. The vegetation index produced by the camera in visible light is more economical than multi spectral or hyper spectral cameras. Image information from visible light cameras will provide an RGB (Red-Green-Blue) value for each pixel to be used to calculate the vegetation index. The RGB value will be greatly influenced by the light conditions (scene) at the time of image acquisition by the camera. Image of plants, will be influenced by the variability of high illumination conditions due to changes in various natural lighting conditions; bright, cloudy, or illuminating nearby objects. To get the right RGB value from each pixel of the image, it is necessary to make adjustments with a certain white balance method. The development of white balance research is also carried out by looking for the value of color constancy. Because the color of the light source, the inherent qualities of the object, and the color of the object's surface will determine the object's color, Color Constancy is performed.. The information generated by the reflectance of light from the surface of a shiny object (reflective) is better than that of a non-shiny object. In this study, experiments were conducted on the effect of the white balance method on color constancy in visible light. The experimental results on the data set processed by the white balance gray world and white patch methods show that there are different RGB values.","PeriodicalId":340917,"journal":{"name":"Proceedings of the 2023 12th International Conference on Software and Computer Applications","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2023 12th International Conference on Software and Computer Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3587828.3587850","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Plant health conditions can be done by calculating the vegetation index. The vegetation index produced by the camera in visible light is more economical than multi spectral or hyper spectral cameras. Image information from visible light cameras will provide an RGB (Red-Green-Blue) value for each pixel to be used to calculate the vegetation index. The RGB value will be greatly influenced by the light conditions (scene) at the time of image acquisition by the camera. Image of plants, will be influenced by the variability of high illumination conditions due to changes in various natural lighting conditions; bright, cloudy, or illuminating nearby objects. To get the right RGB value from each pixel of the image, it is necessary to make adjustments with a certain white balance method. The development of white balance research is also carried out by looking for the value of color constancy. Because the color of the light source, the inherent qualities of the object, and the color of the object's surface will determine the object's color, Color Constancy is performed.. The information generated by the reflectance of light from the surface of a shiny object (reflective) is better than that of a non-shiny object. In this study, experiments were conducted on the effect of the white balance method on color constancy in visible light. The experimental results on the data set processed by the white balance gray world and white patch methods show that there are different RGB values.
白平衡对可见光色恒性的影响
植物健康状况可以通过计算植被指数来实现。相机在可见光下产生的植被指数比多光谱或高光谱相机更经济。来自可见光相机的图像信息将为每个像素提供RGB(红-绿-蓝)值,用于计算植被指数。相机采集图像时的光照条件(场景)对RGB值的影响很大。植物的影像,会因各种自然光照条件的变化而受到高照度条件的变异性影响;明亮的,多云的或照亮附近物体的为了从图像的每个像素中获得正确的RGB值,需要用一定的白平衡方法进行调整。白平衡研究的发展也是通过寻找色彩常数的值来进行的。因为光源的颜色、物体的固有品质以及物体表面的颜色都会决定物体的颜色,所以执行color Constancy。有光泽物体表面的光反射(反光)产生的信息比无光泽物体表面的信息要好。本研究对白平衡法对可见光颜色恒常性的影响进行了实验研究。实验结果表明,采用白平衡灰世界法和白patch法处理的数据集存在不同的RGB值。
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 求助全文
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