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.
|Title of host publication||Conference B|
|Subtitle of host publication||Pattern Recognition Methodology and Systems|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||5|
|Publication status||Published - 1992|
|Event||11th IAPR International Conference on Pattern Recognition, IAPR 1992 - The Hague, Netherlands|
Duration: 1992 Aug 30 → 1992 Sept 3
|Name||Proceedings - International Conference on Pattern Recognition|
|Conference||11th IAPR International Conference on Pattern Recognition, IAPR 1992|
|Period||92/8/30 → 92/9/3|
Bibliographical notePublisher Copyright:
© 1992 Institute of Electrical and Electronics Engineers Inc. All rights reserved.
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition