Image Segmentation with Detection of Highlights and Inter-Reflections Using Color

Abstract : We present an approach to the construction of a computational model for color image segmentation based on the physical properties of sensors, illumination lights and surface reflectances. Using the established model, we perform color image segmentation and detect small inter-reflections as well as highlights.

[1]  G. Buchsbaum.  A spatial processor model for object colour perception , 1980 .

[2]  R. Nevatia.  A Color Edge Detector and Its Use in Scene Segmentation , 1977 .

[3]  L. Maloney.  Evaluation of linear models of surface spectral reflectance with small numbers of parameters. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[4]  Berthold K. P. Horn.  Robot vision , 1986, MIT electrical engineering and computer science series.

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

[6]  D. B. Judd,et al.  Spectral Distribution of Typical Daylight as a Function of Correlated Color Temperature , 1964 .

[7]  J. Cohen.  Dependency of the spectral reflectance curves of the Munsell color chips , 1964 .

[8]  R. Gershon.  The use of color in computational vision , 1987 .

[9]  Brian A. Wandell,et al.  The Synthesis and Analysis of Color Images , 1992, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  O. Faugeras.  Digital color image processing within the framework of a human visual model , 1979 .

[11]  Keith Price,et al.  Picture Segmentation Using a Recursive Region Splitting Method , 1998 .

[12]  L. Maloney,et al.  Color constancy: a method for recovering surface spectral reflectance. , 1986, Journal of the Optical Society of America. A, Optics and image science.

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

[14]  M D'Zmura,et al.  Mechanisms of color constancy. , 1986, Journal of the Optical Society of America. A, Optics and image science.