文献类型：期刊文章

作　　者：伍家松[1,2] 姜龙玉[1,2] 韩旭[1,2] Lotfi Senhadji[3,4,2] 舒华忠[1,2]

机构地区：[1]东南大学计算机网络和信息集成教育部重点实验室,南京210096 [2]东南大学中法生物医学信息研究中心,南京210096 [3]法国国家医学与健康研究院U1099,法国雷恩35000 [4]雷恩第一大学信号与图像处理实验室,法国雷恩35000

出　　处：《Journal of Southeast University(English Edition)》

基　　金：The National Basic Research Program of China(No.2011CB707904);the National Natural Science Foundation of China(No.61201344,61271312,11301074);the Natural Science Foundation of Jiangsu Province(No.BK2012329);the Specialized Research Fund for the Doctoral Program of Higher Education(No.20110092110023,20120092120036)

年　　份：2015

卷　　号：31

期　　号：1

起止页码：46-50

语　　种：中文

收录情况：CAS、CSA、CSA-PROQEUST、EI(收录号：20151800809816)、IC、INSPEC、JST、MR、SCOPUS、ZMATH、普通刊

摘　　要：The optimized color space is searched by using the wavelet scattering network in the KTH_TIPS_COL color image database for image texture classification. The effect of choosing the color space on the classification accuracy is investigated by converting red green blue （RGB） color space to various other color spaces. The results show that the classification performance generally changes to a large degree when performing color texture classification in various color spaces, and the opponent RGB-based wavelet scattering network outperforms other color spaces-based wavelet scattering networks. Considering that color spaces can be changed into each other, therefore, when dealing with the problem of color texture classification, converting other color spaces to the opponent RGB color space is recommended before performing the wavelet scattering network.

关 键 词：wavelet scattering network  color texture classification  color spaces  opponent mechanism  

分 类 号：TP391]