Abstract
A two-level 3-D rotational invariant classification is developed based on the fractional differencing model. In the first level, classification is done with a fractal scale, and in the second level, textures are classified in detail with additional frequency parameters. Because of the properties of the fractal scale and multi-level procedure, the proposed 3-D rotational invariant classification scheme reduces the processing time and gives enough accuracy to the classification simultaneously. As a result of a series of experiments involving the differently oriented samples of natural textures, it is concluded that these combined features allow this multi-level classification method to have a strong class separability power for arbitrarily oriented 3-D texture patterns.
Original language | English |
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Pages (from-to) | 794-799 |
Number of pages | 6 |
Journal | Conference Record - Asilomar Conference on Circuits, Systems & Computers |
Volume | 2 |
Publication status | Published - 1991 |
Event | 24th Asilomar Conference on Signals, Systems and Computers Part 2 (of 2) - Pacific Grove, CA, USA Duration: 1990 Nov 5 → 1990 Nov 7 |
All Science Journal Classification (ASJC) codes
- Engineering(all)