Body color sets: A compact and reliable representation of images

This paper proposes a novel definition of color sets, called body color sets and lines. The proposed technique refers to the dichromatic reflectance model, which states that the colors of a uniform lambertian object are roughly located around straight vectors going from the black to the body color, in relation to physical properties of the object. Ends of body vectors are robustly detected, from the clearest to the darkest through a multi-level histogram analysis, a key step of the algorithm. Finally, instead of defining the topographic map along the one and only luminance direction, body lines are designed along each body vector. The resulting topographic map is more compact and requires less executing times and resources than in previous works [gouiffes08]. Experimental results show that this approach provides a better trade-off between compactness and quality of a topographic map. Furthermore, it provides increased stability under temperature changes of the illuminant.

[1]  S. Tominaga Surface reflectance estimation by the dichromatic model , 1996 .

[2]  Jean-Michel Morel,et al.  Topographic Maps and Local Contrast Changes in Natural Images , 1999, International Journal of Computer Vision.

[3]  Michèle Gouiffès,et al.  Tracking by Combining Photometric Normalization and Color Invariants According to their Relevance , 2007, 2007 IEEE International Conference on Image Processing.

[4]  Brian A. Wandell,et al.  A spatial extension of CIELAB for digital color‐image reproduction , 1997 .

[5]  Jean Serra,et al.  Image Analysis and Mathematical Morphology , 1983 .

[6]  Jesús Angulo,et al.  Geometric algebra colour image representations and derived total orderings for morphological operators - Part I: Colour quaternions , 2010, J. Vis. Commun. Image Represent..

[7]  Bertrand Zavidovique,et al.  Efficient cumulative matching for image registration , 2006, Image Vis. Comput..

[8]  Shree K. Nayar,et al.  Separation of Reflection Components Using Color and Polarization , 1997, International Journal of Computer Vision.

[9]  Pascal Monasse,et al.  Fast computation of a contrast-invariant image representation , 2000, IEEE Trans. Image Process..

[10]  Hong Zhang,et al.  Color classification using adaptive dichromatic model , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[11]  Arnold W. M. Smeulders,et al.  The Amsterdam Library of Object Images , 2004, International Journal of Computer Vision.

[12]  Lionel Moisan,et al.  Edge Detection by Helmholtz Principle , 2001, Journal of Mathematical Imaging and Vision.

[13]  Jacques Froment Perceptible level lines and isoperimetric ratio , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[14]  Charles Kervrann,et al.  Optimal Level Curves and Global Minimizers of Cost Functionals in Image Segmentation , 2002, Journal of Mathematical Imaging and Vision.

[15]  Gudrun Klinker,et al.  A physical approach to color image understanding , 1989, International Journal of Computer Vision.

[16]  Glenn Healey,et al.  Segmenting images using normalized color , 1992, IEEE Trans. Syst. Man Cybern..

[17]  Bertrand Zavidovique,et al.  A Color Topographic Map Based on the Dichromatic Reflectance Model , 2008, EURASIP J. Image Video Process..

[18]  M. Werman,et al.  Color lines: image specific color representation , 2004, CVPR 2004.

[19]  Arnold W. M. Smeulders,et al.  Color-based object recognition , 1997, Pattern Recognit..

[20]  Jacques Froment,et al.  Topographic maps of color images , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[21]  Lionel Lacassagne,et al.  Light speed labeling: efficient connected component labeling on RISC architectures , 2011, Journal of Real-Time Image Processing.

[22]  Bertrand Zavidovique,et al.  EFLAM: A model to level-line junction extraction , 2006, VISAPP.

[23]  Steven A. Shafer,et al.  Using color to separate reflection components , 1985 .

[24]  Bertrand Zavidovique,et al.  Segments of Color Lines - A Comparison through a Tracking Procedure , 2009, ICINCO-RA.

[25]  Frédéric Sur,et al.  Extracting Meaningful Curves from Images , 2005, Journal of Mathematical Imaging and Vision.

[26]  Laura Igual,et al.  Level Lines Selection with Variational Models for Segmentation and Encoding , 2006, Journal of Mathematical Imaging and Vision.

[27]  Takeo Kanade,et al.  Image Segmentation And Reflection Analysis Through Color , 1988, Defense, Security, and Sensing.

[28]  Gerald Schaefer,et al.  Solving for Colour Constancy using a Constrained Dichromatic Reflection Model , 2001, International Journal of Computer Vision.

[29]  Jean-Michel Morel,et al.  Geometry and Color in Natural Images , 2002, Journal of Mathematical Imaging and Vision.