APPLICATION OF BP NEURAL NETWORK IN COLOR TEMPERATURE CALCULATION

摘要：

One of the important indexes of light source is its color rendering property,which is directly interfered the objects colors reflected to our eyes.The object with good color rendering property is less of color distortion,so we need to test the parameters of light source.The popular method for getting the relative color temperature has three steps, which is to firstly obtain color tri-stimulus values X,Y and Z from PR-655 spectraScan colorimeter, and then to calculate chromaticity coordinates of light source separately, at last to solve the relative color temperature with interpolation.The method is very complicated for the calculation, therefore,we try to set up the conversion relation between color temperature of light source and chromaticity coordinates (u,v) with neural network.

关键词： Color Temperature Neural Network Chromaticity Coordinates

作者: Guanyun Xiao Hongxia Zhao Zhiyang Luo

作者单位: Mechanical Engineering Department,Jinggangshan University Jian 343009 Jiangxi,P.R.China

会议类型: 国际会议

会议名称: 2009 International Symposium on Computer Science and Technology(2009 中国宁波国际计算机科学与技术学术大会)

会议地点: 宁波

会议语种:英文

页码: 295-299

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）