A system for computerized classification of color textured perthite images

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1 Scopus citations


A fast, reliable, and objective computerized system for classification of color textured perthite images is proposed. In order to locate a crystal's borders, color and texture features are combined in a pixel classification segmentation operation, followed by probabilistic relaxation. Once a binary image is extracted, noise is suppressed using mathematical morphology. An operator based on vertical-horizontal run length ratios is used in order to identify and separate vein elements. Joint patch elements are disconnected using an iterative patch core locating procedure. Based on geometrical properties, the texture element's distribution is computed. Experimental results are compared to manual classification.

Original languageEnglish
Pages (from-to)1533-1545
Number of pages13
JournalPattern Recognition
Issue number9
StatePublished - 1 Jan 1997


  • Color texture analysis
  • Computer vision
  • Perthite crystals
  • Relaxation
  • Shape analysis

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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