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22 October 1993 Hierarchical multiresolution texture image segmentation
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Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.158003
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States
Abstract
In this work we present a method for multiresolution texture image segmentation via supervised Bayesian classification. This method takes into account a function called classification index CI (or Indice de Classification IC3). This function measures the accuracy rate of a pixel classification after it has been classified. The CI measure is based on the location of the pixel attribute vector in the observation space relative to the classes to which it must be classified. To reduce the time used in the classification process, we propose a new method (ASH: Algorithme de Segmentation Hierarchique3) that segments hierarchically the multiresolution images.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kidiyo Kpalma, Veronique Haese-Coat, and Joseph Ronsin "Hierarchical multiresolution texture image segmentation", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.158003; https://doi.org/10.1117/12.158003
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