期刊文献+

HSV色彩空间中的肤色特征及其新的识别参量 被引量:9

Features of Human Skin in HSV Color Space and New Recognition Parameter
原文传递
导出
摘要 研究了色调(H)饱和度(S)亮度(V)色彩空间的各分量随光照变化的规律。实验发现:当光照强度发生变化或待测表面的曲度发生变化时,(S+V)/2能够保持相对稳定;当皮肤的色调发生变化时,(S+V)/2随之改变,但与H的变化方向相反。研究结果表明,可以将(S+V)/H作为一个新的识别参量,不仅对光照度和照射角度有较好的鲁棒性,而且增强了HSV空间对人类皮肤的分辨能力。 In HSV color space H is selected as the basic recognition parameter because it has a narrow range for skin color and can keep stable when the illumination intensity or the curvature of skin surface has been changed. The rules of HSV color space with the change of illumination intensity are studied in this paper. It is firstly found that (S+V)/2 can keep steady when the illumination intensity is changed or the skin surface is inflected, and (S+V)/2 changes with the skin color, but the tendency is contrary to the change of H. Therefore,(S+V)/H can be used as a new recognition parameter which can enhance HSV ability to recognize human skin.
出处 《光电子.激光》 EI CAS CSCD 北大核心 2007年第11期1391-1393,共3页 Journal of Optoelectronics·Laser
关键词 肤色 色调(H)饱和度(S)亮度(V)色彩空间 色彩常恒性 新的识别参量 实验研究 skin color hue (H) saturation (S) value (V) color space color constancy new recognition parameters experimental study
  • 相关文献

参考文献6

二级参考文献31

  • 1张立保,王珂.针对静止图像压缩的整数小波优化设计[J].光电子.激光,2004,15(9):1103-1107. 被引量:3
  • 2边肇祺.模式识别[M].清华大学出版社,1999..
  • 3[1]Clarys P, Alewaeters K, Lambrecht R, et al. Skin color measurements: comparison between three instruments: the Chromameter(R), the Derma Spectrometer(R) and the Mexameter(R)[J]. Skin Res Technol, 2000, 6(4): 230-238.
  • 4[2]Corcuff P, Pierard GE. Skin imaging: state of the art at the dawn of the year 2000[J]. Curr Probl Dermatol, 1998, 26(1):1-11.
  • 5[3]Alaluf S, Atkins D, Barrett K, et al. The impact of epidermal melanin on objective measurements of human skin colour [J].Pigment Cell Res, 2002, 15(2): 119-126.
  • 6[4]Andreassi L, Flori L. Practical applications of cutaneous colorimetry[J]. Clin Dermatol, 1995, 13(4): 369-373.
  • 7Arnold W M.Content-based Image Retrieval at the End of the Early Years.Pattern Analysis and Machine Intelligence,2000,22(12)
  • 8Aibing Rao, Rhhini K Srihari, et al. Spatial color histograms for content-based image retrieval[A]. Proceedingof IEEE International Conference ontools with artificial Intelligence[C]. 1999. 183-186.
  • 9Flickner M, Sawhney H, Niblack W, et al. Query by image and video content: the QBIC system[J]. IEEE ComputerSept, 1995,28(9) :23-32.
  • 10Smith J R,Chang Shih-Fu. VisualSEEK.. a fully automated content-based image query system [A]. Proceedings ofthe fourth ACM international conference on Multimedia[C]. 1997.87-98.

共引文献147

同被引文献66

引证文献9

二级引证文献25

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