Computerized classification of color textured perthite images

Boaz Cohen; Its'Hak Dinstein; Moshe Eyal

doi:10.1109/ICPR.1996.546894

Computerized classification of color textured perthite images

Boaz Cohen, Its'Hak Dinstein, Moshe Eyal

Department of Earth and Environmental sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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 language	English
Title of host publication	Track B
Subtitle of host publication	Pattern Recognition and Signal Analysis
Publisher	Institute of Electrical and Electronics Engineers
Pages	601-605
Number of pages	5
ISBN (Print)	081867282X, 9780818672828
DOIs	https://doi.org/10.1109/ICPR.1996.546894
State	Published - 1 Jan 1996
Event	13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria Duration: 25 Aug 1996 → 29 Aug 1996

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	2
ISSN (Print)	1051-4651

Conference

Conference	13th International Conference on Pattern Recognition, ICPR 1996
Country/Territory	Austria
City	Vienna
Period	25/08/96 → 29/08/96

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

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10.1109/ICPR.1996.546894

Cite this

@inproceedings{3d3ab48c51c64cdf8a0a9f1879f42964,

title = "Computerized classification of color textured perthite images",

abstract = "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.",

author = "Boaz Cohen and Its'Hak Dinstein and Moshe Eyal",

year = "1996",

month = jan,

day = "1",

doi = "10.1109/ICPR.1996.546894",

language = "English",

isbn = "081867282X",

series = "Proceedings - International Conference on Pattern Recognition",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "601--605",

booktitle = "Track B",

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note = "13th International Conference on Pattern Recognition, ICPR 1996 ; Conference date: 25-08-1996 Through 29-08-1996",

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Cohen, B, Dinstein, IH & Eyal, M 1996, Computerized classification of color textured perthite images. in Track B: Pattern Recognition and Signal Analysis., 546894, Proceedings - International Conference on Pattern Recognition, vol. 2, Institute of Electrical and Electronics Engineers, pp. 601-605, 13th International Conference on Pattern Recognition, ICPR 1996, Vienna, Austria, 25/08/96. https://doi.org/10.1109/ICPR.1996.546894

Computerized classification of color textured perthite images. / Cohen, Boaz; Dinstein, Its'Hak ; Eyal, Moshe.
Track B: Pattern Recognition and Signal Analysis. Institute of Electrical and Electronics Engineers, 1996. p. 601-605 546894 (Proceedings - International Conference on Pattern Recognition; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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.

AB - 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.

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M3 - Conference contribution

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Y2 - 25 August 1996 through 29 August 1996

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Computerized classification of color textured perthite images

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