Texture Features and Segmentation Based on Multifractal Approach

  • Mohamed Abadi
  • Enguerran Grandchamp
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4225)


In this paper, we use a multifractal approach based on the computation of two spectrums for image analysis and texture segmentation problems. The two spectrums are the Legendre Spectrum, determined by classical methods, and the Large Deviation Spectrum, determined by kernel density estimation. We propose a way for the fusion of these two spectrums to improve textured image segmentation results. An unsupervised k-means is used as clustering approach for the texture classification. The algorithm is applied on mosaic image built using IKONOS images and various natural textures from the Brodatz album. The segmentation obtained with our approach gives better results than the application of each spectrum separately.


Multifractal theory multifractal spectrum wavelets texture segmentation high and very high spatial resolution image 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Mohamed Abadi
    • 1
  • Enguerran Grandchamp
    • 1
  1. 1.GRIMAAG UAG, Campus de FouilloleFrench West Indies UniversityPointe-à-Pitre Cedex GuadeloupeFrance

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