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Proceedings Paper

Texture characterization: morphological approach
Author(s): Venu Mahadasa; T. Ch. Malles Rao; B. S. Prakasa Rao; B. S. Daya Sagar
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Paper Abstract

Textural filters that are designed in the texture spectrum domain are used by slightly changing rules in the calculation of the texture unit number by ordering the elements of the texture unit with respect to the positions of maximum and minimum gray level values as their initial positions in the 3 X 3 subimage. Following that, maximum and minimum values, in addition to the average value of standardized nine elements, are also considered in the transformation processes. Condition morphological filter is applied on the texture filtered image of 200 X 300 pixel data. The results are showing promising potential for geological feature recognition.

Paper Details

Date Published: 20 August 1993
PDF: 10 pages
Proc. SPIE 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques, (20 August 1993); doi: 10.1117/12.150165
Show Author Affiliations
Venu Mahadasa, Andhra Univ. (India)
T. Ch. Malles Rao, National Remote Sensing Agency (India)
B. S. Prakasa Rao, Andhra Univ. (India)
B. S. Daya Sagar, Andhra Univ. (India)


Published in SPIE Proceedings Vol. 2055:
Intelligent Robots and Computer Vision XII: Algorithms and Techniques
David P. Casasent, Editor(s)

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