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Color Image Segmentation by Means of a Similarity Function

  • Rodolfo Alvarado-Cervantes
  • Edgardo M. Felipe-Riveron
  • Luis P. Sanchez-Fernandez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6419)

Abstract

An interactive, semiautomatic image segmentation method is presented which, unlike most of the existing methods in the published literature, processes the color information of each pixel as a unit, thus avoiding color information scattering. The process has two steps: 1) The manual selection of few sample pixels of the color to be segmented, 2) The automatic generation of the so called Color Similarity Image (CSI), which is a gray level image with all the tonalities of the selected color. The color information of every pixel is integrated by a similarity function for direct color comparisons. The color integrating technique is direct, simple, and computationally inexpensive. It is shown that the improvement in quality of our proposed segmentation technique and its quick result is significant with respect to other solutions found in the literature.

Keywords

Color image segmentation Adaptive color similarity function HSI parameter distances Morphology in color images 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Rodolfo Alvarado-Cervantes
    • 1
  • Edgardo M. Felipe-Riveron
    • 1
  • Luis P. Sanchez-Fernandez
    • 1
  1. 1.Center for Computing ResearchNational Polytechnic InstituteCol. Nueva Industrial VallejoMexico

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