New algorithm for segmentation of images represented as hypergraph hexagonal-grid

  • Authors:
  • Dumitru Burdescu;Marius Brezovan;Eugen Ganea;Liana Stanescu

  • Affiliations:
  • University of Craiova, Craiova, Romania;University of Craiova, Craiova, Romania;University of Craiova, Craiova, Romania;University of Craiova, Craiova, Romania

  • Venue:
  • IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
  • Year:
  • 2011

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Abstract

This paper presents a new method for segmentation of images into regions and for boundary extraction that reflect objects present in the image scene. The unified framework for image processing uses a grid structure defined on the set of pixels from an image. We propose a segmentation algorithm based on hypergraph structure which produces a maximum spanning tree of a visual hypergraph constructed on the grid structure, and we consider the HCL (Hue-Chroma-Luminance) color space representation. Our technique has a time complexity lower than the methods from the specialized literature, and the experimental results on the Berkeley color image database show that the performance of the method is robust.