25 September 2003 Feature extraction using filtered projections and fractal dimensions
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Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539879
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China
Abstract
Feature extraction is an important step before object detection and pattern recognition are conducted. In this paper, we endeavor to find a new way of feature extraction. As well known, the fundamental of computerized tomography (CT) is image reconstruction from projections. And a famous image reconstruction algorithm is filtered back-projection. Since the filtered projections can reconstruct the original object, it can be inferred that they can also represent the object. One of the contribution of this paper is that the idea image reconstruction from projections is adopted. To reduce the pattern dimensionality without loss of the ability of characterizing the object, the fractal dimensions of all the filtered projections are computed. These fractal dimensions form a feature vector from which pattern recognition can be done easily. Preliminary results have demonstrated that the proposed approach is a promising method for feature extraction.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanwei Pang, Zhengkai Liu, Qian Zhang, "Feature extraction using filtered projections and fractal dimensions", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539879; https://doi.org/10.1117/12.539879
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