{"title":"Alternative feature extraction from digitized images of dye solutions as a model for algal bloom remote sensing","authors":"R. Uy, J. Ilao, E. Punzalan, Mariel Prane Ong","doi":"10.1109/ICACSIS.2014.7065842","DOIUrl":null,"url":null,"abstract":"Digital images of methyl violet dye and methyl orange solutions were obtained under controlled contributions to simulate images of algal blooms. From those images, feature extraction based from both Red-Green-Blue (RGB) and Hue-Saturation-Value (HSV) color space were used. The independent variable C, which is the concentration value of the dye solution, is mapped independently with the R-channel, G-channel and B-channel as well as the H-channel, S-channel and V-channel. Linear regression and non-linear regression techniques were used to determine the best fit equation while Akaike Information Criterion (AIC) were used to compare which among the equations provide the best fit.","PeriodicalId":443250,"journal":{"name":"2014 International Conference on Advanced Computer Science and Information System","volume":"431 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Advanced Computer Science and Information System","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACSIS.2014.7065842","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
Digital images of methyl violet dye and methyl orange solutions were obtained under controlled contributions to simulate images of algal blooms. From those images, feature extraction based from both Red-Green-Blue (RGB) and Hue-Saturation-Value (HSV) color space were used. The independent variable C, which is the concentration value of the dye solution, is mapped independently with the R-channel, G-channel and B-channel as well as the H-channel, S-channel and V-channel. Linear regression and non-linear regression techniques were used to determine the best fit equation while Akaike Information Criterion (AIC) were used to compare which among the equations provide the best fit.
在控制贡献下获得甲基紫染料和甲基橙溶液的数字图像,以模拟藻华图像。从这些图像中,使用基于红-绿-蓝(RGB)和色调-饱和度值(HSV)颜色空间的特征提取。自变量C为染料溶液的浓度值,与r通道、g通道、b通道以及h通道、s通道、v通道独立映射。采用线性回归和非线性回归技术确定最优拟合方程,并采用赤池信息准则(Akaike Information Criterion, AIC)对最优拟合方程进行比较。