Texture characterization: morphological approach

Venu Mahadasa; T. Ch. Malles Rao; B. S. Prakasa Rao; B. S. Daya Sagar

doi:10.1117/12.150165

20 August 1993 Texture characterization: morphological approach

Venu Mahadasa, T. Ch. Malles Rao, B. S. Prakasa Rao, B. S. Daya Sagar

Proceedings Volume 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques; (1993) https://doi.org/10.1117/12.150165
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

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.

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Venu Mahadasa, T. Ch. Malles Rao, B. S. Prakasa Rao, and B. S. Daya Sagar "Texture characterization: morphological approach", Proc. SPIE 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques, (20 August 1993); https://doi.org/10.1117/12.150165

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