Computerized classification of color textured perthite images

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


A fast, reliable, and objective system for computerized classification of color textured perthite images is proposed. Computerized classification of perthite textures enables large scale comparative perthite texture studies. In order to locate a perthite crystal's borders, color and texture features are combined in a pixel classification segmentation operation, followed by probabilistic relaxation. A new 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 procedure that locates patch cores. After the geometrical properties are extracted, the desired distribution of the perthite texture elements is computed. Experimental classification results are presented and compared to expert manual classification.

Original languageEnglish
Title of host publicationTrack B
Subtitle of host publicationPattern Recognition and Signal Analysis
PublisherInstitute of Electrical and Electronics Engineers
Number of pages5
ISBN (Print)081867282X, 9780818672828
StatePublished - 1 Jan 1996
Event13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria
Duration: 25 Aug 199629 Aug 1996

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651


Conference13th International Conference on Pattern Recognition, ICPR 1996

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition


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