A New Color Constancy Model for Machine Vision  

作　　者：陶霖密 徐光祐 

机构地区：[1]InformationLaboratory,DepartmentofComputerScienceandTechnology,TsinghuaUniversityBeijing100084,P.R.China [2]InformationLaboratory,DepartmentofComputerScienceandTechnology,TsinghuaUnivers

出　　处：《Journal of Computer Science & Technology》2001年第6期567-573,共7页计算机科学技术学报（英文版）

基　　金：This work is supported by the National '863' High-Tech Programme of China (No. 863-306-03-01-1).

摘　　要：Both physiological and psychological evidences suggest that the human visual system analyze images in neural subsystems tuned to different attributes of the stiamlus. Color module and lightness module are such subsystems. Under this general result, a new physical model of trichromatic system has been developed to deal with the color constancy of computer vision. A normal color image is split into two images: the gray scale image and the equal lightness color image for the two modules. Relatively a two-dimensional descriptor is applied to describe the property of surface reflectance in the equal lightness color image. This descrip- tion of surface spectral reflectance has the property of color constancy Image segmentation experiments based on color property of object show that the presented model is effective.Both physiological and psychological evidences suggest that the human visual system analyze images in neural subsystems tuned to different attributes of the stiamlus. Color module and lightness module are such subsystems. Under this general result, a new physical model of trichromatic system has been developed to deal with the color constancy of computer vision. A normal color image is split into two images: the gray scale image and the equal lightness color image for the two modules. Relatively a two-dimensional descriptor is applied to describe the property of surface reflectance in the equal lightness color image. This descrip- tion of surface spectral reflectance has the property of color constancy Image segmentation experiments based on color property of object show that the presented model is effective.

关 键 词：color constancy lightness normalization color vision computer vision 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]