20 August 1993 Texture characterization: morphological approach
Author Affiliations +
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
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Venu Mahadasa, Venu Mahadasa, T. Ch. Malles Rao, T. Ch. Malles Rao, B. S. Prakasa Rao, B. S. Prakasa Rao, B. S. Daya Sagar, B. S. Daya Sagar, } "Texture characterization: morphological approach", Proc. SPIE 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques, (20 August 1993); doi: 10.1117/12.150165; https://doi.org/10.1117/12.150165


The Digital Morphological Sampling Theorem
Proceedings of SPIE (February 18 1988)
Multiscale Vector Fields for Image Pattern Recognition
Proceedings of SPIE (February 28 1990)
FOVEA - A System for Invariant Visual Form Recognition
Proceedings of SPIE (June 08 1986)
New advances in correlation filters
Proceedings of SPIE (October 31 1992)
Optimality of Projection Synthetic Discriminant Functions
Proceedings of SPIE (December 10 1985)

Back to Top