Abstract
A two-level 3-D rotational invariant classification is developed based on Fractional Differencing model. In first level, classification has been done with a fractal scale, and in second level, textures have been classified further in detail with the 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 of 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 make possible for this multi-level classification method to have a strong class separability power for arbitrary oriented 3-D texture patterns.
| Original language | English |
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| Title of host publication | Conference B |
| Subtitle of host publication | Pattern Recognition Methodology and Systems |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 251-255 |
| Number of pages | 5 |
| ISBN (Print) | 0818629150 |
| DOIs | |
| Publication status | Published - 1992 |
| Event | 11th IAPR International Conference on Pattern Recognition, IAPR 1992 - The Hague, Netherlands Duration: 1992 Aug 30 → 1992 Sept 3 |
Publication series
| Name | Proceedings - International Conference on Pattern Recognition |
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| Volume | 2 |
| ISSN (Print) | 1051-4651 |
Conference
| Conference | 11th IAPR International Conference on Pattern Recognition, IAPR 1992 |
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| Country/Territory | Netherlands |
| City | The Hague |
| Period | 92/8/30 → 92/9/3 |
Bibliographical note
Publisher Copyright:© 1992 Institute of Electrical and Electronics Engineers Inc. All rights reserved.
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition