期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

基于CIE1931的颜色识别方法研究 被引量：4

Research on Color Distinguish Technology Based on CIE1931
下载PDF
导出
摘要 在国际照明委员会(CIE)的标准协议规定下,通过色彩与波长的对应关系,通过计算斜率,使用线性插值方法计算了颜色所对应的主波长及其饱和度,实现了颜色的辨别,并使用Matlab仿真再现了光谱三刺激值曲线、等能光谱色亮度曲线、舌形色度图。 Color detection is the primary work in the machine vision. According to the standard of International Commission on Illumination （CIE）, compute the slope and use the linear interpolation to get the color sample＇s dominant wavelength and the saturation, implement to distinguish the color, use Matlab to simulate the three tristimulus values, the relative brightness map of same-energy-spectral-color,chromaticity diagram.
作者 徐洋 郭冬霄 程安宇 郑太雄
机构地区 重庆邮电大学自动化学院
出处 《电视技术》 北大核心 2012年第5期126-130,共5页 Video Engineering
基金 国家科技重大专项核心电子器件 高端通用芯片及基础软件产品(2009ZX01038-002-002-2)
关键词 色彩辨别 主波长 饱和度 CIE1931 color distinguish dominant wavelength saturation CIE19311
分类号 TP242.62 [自动化与计算机技术—检测技术与自动化装置]
  • 相关文献

参考文献8

  • 1ALTUN H,SINEKLI R,TEKBAS U,et al.An efficient color detection inRGB space using hierarchical neural network structure[C]//Proc.2011INISTA.[S.l.]:IEEE Press,2011:154-158.
  • 2TSAI L W,HSIEH J W,FAN K C.Vehicle detection using normalizedcolor and edge map[C]//Proc.2007 ICIP.[S.l.]:IEEE Press,2007:850-864.
  • 3王峰,曼丽春,肖逸军,王邦平,张秀琼.基于免疫数值归约方法的车牌颜色识别算法[J].四川大学学报（工程科学版）,2008,40(5):164-170. 被引量：1
  • 4NALLAPERUMAL K,RAVI S,BABU C N K,et al.Skin detection usingcolor pixel classification with application to face detection:a comparativestudy[C]//Proc.2007 ICCIMA.[S.l.]:IEEE Press,2007:436-441.
  • 5NAGHDI N M,MIRJALILY G,ALMODARRESI S M T.Some notes onaccuracy constraints of pixel based skin color detection[C]//Proc.2009ICFCC.[S.l.]:IEEE Press,2009:324-328.
  • 6许家佗,周昌乐,方肇勤,张志枫,王志国,孙炀.舌像颜色特征的计算机分析与识别研究[J].上海中医药大学学报,2004,18(3):43-47. 被引量：51
  • 7CIE.Calculations for interior lighting basic method[R/OL].[2011-09-22].http://div3.cie.co.at/?i_ca_id=575&pubid=104.
  • 8Standard practice for computing the colors of objects by using the CIEsystem[S/OL].[2011-09-22].http://www.astm.org/.

二级参考文献20

  • 1LI Tao.An immunity based network security risk estimation[J].Science in China(Series F),2005,48(5):557-578. 被引量：30
  • 2[5]Dasgupta D,Gonzalez F.An immunity based technique to characterize intrusions in computer networks[J].IEEE Trans Evolutionary Computation,2002,6(3):281-291.
  • 3[6]Harmer P K,Williams P D,Gunsch G H,et al.An artificial immune system architecture for computer security applications[J].IEEE Trans Evolutionary Computation,2002,6(3):252-280.
  • 4[7]Carter J H.The immune system as a model for pattern recognition and classification[J].Journal of the American Medical Informatics Association,2000,7(1):28-41.
  • 5[8]Watkins A,Boggess L.A new classifier based on resource limited artificial immune systems[C]//Proc of Congress on Evolutionary Computation (CEC2002).IEEE Press,2002:1546-1551.
  • 6[9]De Castro L N,Von Zuben F J.Learning and optimization using the clonal selection principle[J].IEEE Trans Evolution Computation,2002,6(3):239-251.
  • 7[10]De Castro L N,Timmis J.An artificial immune network for multimodal optimization[C]//Proc of Congress on Evolutionary Computation (CEC2002).IEEE Press,2002:699-704.
  • 8[11]Timmis J,Neal M.A resource limited artificial immune system for data analysis[J].Knowledge Based Systems,2001,14(324):121-130.
  • 9[12]Watkins A,Timmis J,Boggess L.Artificial Immune Recognition System (AIRS):an immune inspired supervised machine learning algorithm[J].Genetic Programming and Evolvable Machines,2004,5(3):291-317.
  • 10[13]Yang Yaoquan,Bai Jie,Tian Ruili,et al.A Vehicle license plate recognition system based on fixed color collocation[C]//Proc of the Fourth Int Conf on Machine Learning and Cybernetics.IEEE Press,2005:5394-5397.

共引文献50

同被引文献19

  • 1Robert Shapley,Michael Hawken.Neural mechanisms for color perception in the primary visual cortex[J].Current Opinion in Neurobiology.2002(4)
  • 2YANG Y, Guo L, WANG T, JAO W, SHAO G FENG Q. Unsupervised multiphase color-texture image segmentation based on variational formulation and multilayer graph [J]. Image and Vision Computing, 2014, 32(2): 87-106.
  • 3JUNG C R. Unsupervised multiscale segmentation of color images [J]. Pattern Recognition Let- ters, 2007, 28(4): 523-533.
  • 4CELIK T, TJAHJADI T. Unsupervised colour image segmentation using dual-tree complex wavelet transform [J]. Computer Vision and Image Understanding, 2010, 114(7): 813-826.
  • 5TANAKA S, MOON C H, FUKUDA M, KIM S G. Three-dimensional visual feature representation in the primary visual cortex[J]. Neural Networks, 2011, 24(10): 1022-1035.
  • 6NIXON M, AGUADO A S. Feature extraction and image processing [M]. [S.1.]: Access Online via Elsevier, 2008.
  • 7SCHANDA J. Colorimetry: understanding the CIE system [M]. [S/1.]: Wiley-Interseience, 2007.
  • 8李磊,吕绪良,何超,贾其.城市型迷彩的颜色确定方法研究[J].光电技术应用,2008,23(5):22-24. 被引量：2
  • 9张勇,吴文健,刘志明.基于改进K均值聚类分析的迷彩伪装色选取[J].计算机工程与应用,2009,45(6):210-212. 被引量：14
  • 10喻钧,初苗,田少辉,胡志毅.迷彩设计中背景图像聚类方法的比较分析[J].应用科学学报,2009,27(5):475-479. 被引量：10

引证文献4

二级引证文献5

电视技术
2012年 第5期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部