期刊文献+

从RGB到HSV色彩空间转换公式的修正 被引量:26

The revision of conversion formula from RGB color space to HSV color space
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摘要 针对从RGB色彩空间到HSV色彩空间的转换方式为非线性变换,会产生奇异点和不稳定点的问题,对转换公式作了修正.原公式在饱和度为零时色度未定义,在低饱和度时色度不稳定,这些情况下色度为黑色、灰色或者白色,将色度分量的低值区域和高值区域分别用来表示黑白色或者偏黑和偏白的低饱和度色.不但能够消除色度奇异点和不稳定点,而且可以用单纯H分量来表述色彩图像的主色调信息,简化了图像计算的复杂度.通过分析和实验验证,方法是有效的. The conversion from RGB color space tO HSV color space is non-linear, singular points or unstable points could arise in hue component of HSV color space. A revised formula is provided to solve this problem. Original formula does not define hue value when saturation value is zero, and hue value is nonsense when saturation value is low. Under these conditions, the color is black, gray or white. Redefining these non-color or gray points in hue component's low and high area, not only eliminated singular points and unstable points, but also simplified image processing by present dominant color in one hue component. Through theoretic analysis and experimental verification, this revised formula is proved to be effective.
出处 《纺织高校基础科学学报》 CAS 2008年第3期351-356,共6页 Basic Sciences Journal of Textile Universities
基金 陕西省科技厅国际合作资助项目(2004WK-06)
关键词 RGB HSV 色彩空间 奇异点 不稳定点 RGB HSV color space singular point unstable point
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参考文献9

  • 1章毓晋.图像工程(上):图像处理和分析[M].北京:清华大学出版社,2001.
  • 2林开颜,吴军辉,徐立鸿.彩色图像分割方法综述[J].中国图象图形学报(A辑),2005,10(1):1-10. 被引量:320
  • 3鲍晴峰,王继成.基于PCNN的彩色图像分割新方法[J].计算机工程与应用,2005,41(27):48-50. 被引量:19
  • 4ECKHORN R, REITBOECK H J, ARNDT M, et al. A neural network for future linking via synchronous activity: Results from cat visual cortex and from simulations[C]//C R M J Models of Brain Function. Cambridge: Cambridge Uinv Press, 1989: 255-272.
  • 5JOHNSON J L, PADGETT M L. PCNN Models and Applications[J]. IEEE Trans Neural Networks, 1999, 10(3) " 480-498.
  • 6王海霞,覃团发.基于MPEG-7中主颜色提取的改进方法[J].计算机工程,2005,31(16):185-187. 被引量:10
  • 7CHENG H D,JIANG X H,SUN Y,et al. Color image segmentation: advances and prospects[J]. Pattern Recognition, 2001,34(12):2 259-2 281.
  • 8GEVERS T, SMEULDERS A W M. A comparative study of several color models for color image invariant retrieval [C]//Proceedings of the First International Workshop on Image Database & Multimedia Search. Amsterdam, 1996:17- 26.
  • 9孟祥增,王玲,李海霞,钟义信.一种利用颜色词检索图像的方法[J].中国图象图形学报(A辑),2005,10(3):349-353. 被引量:8

二级参考文献26

  • 1刘健庄,谢维信.高效的彩色图像塔形模糊聚类分割方法[J].西安电子科技大学学报,1993,20(1):40-46. 被引量:5
  • 2刘重庆,程华.分割彩色图像的一种有效聚类方法[J].模式识别与人工智能,1995,8(A01):133-138. 被引量:7
  • 3董振东 董强.知网[EB/OL].http://www.keenage.com,2002.
  • 4Wasfi Al-Khatib, Day Y Francis, Arif Ghafoor, et al. Semantic modeling and knowledge representation in multimedia database [ J ].IEEE Transactions on Knowledge and Data Engineering, 1999,11(1) :64 ~80.
  • 5Rui Y, Huang T S, Chang S F. Image retrieval: Current techniques,promising directions and open issues [ J ]. Journal of Visual Communication and Image Representation, 1999, 10(4) :39 ~ 62.
  • 6Gevers T, Smeulders A W M. A comparative study of several color models for color image invariant retrieval[ A ]. In: Proceedings of the First International Workshop on Image Database & Multimedia Search [ C ] , Amsterdam, Netherlands, Aug. 1996:17 ~ 26.
  • 7David A Mundie. The NBS/IBCC color system [ EB/OL ]. http :∥www. anthus. com/Colors/NBS. html.
  • 8Resene Paints Limited. Color swatches online [ EB/OL]. http:∥www. resene. co. nz/swatches/index. btm.
  • 9C C Hung. Knowledge-based image segmentation[D].Ph D dissertation.Dept of Computer Sci,Univ Alabama,Huntsville,1990
  • 10Cheng HD,Jiang XH,Sun Y et al.Color image segmentation:advance and prospects[J].Pattern Recognition, 2001; 34 (12) :2259~2281

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