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Authors
Affiliations
1 Department of Computer Science, University of Mysore, 570006, Mysore, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 4 (2011), Pagination: 131-141
Abstract
In this paper, we present a method for classification of medical images. Wavelet features of different modalities of medical images are extracted. Then mean and standard deviation of extracted wavelet features are computed. We utilize K-Nearest Neighbor classifier to classify medical imaging modalities as X-ray, MRI and CT. Experiments are conducted on medical database containing 4,500 images. We achieve 99.96% classification accuracy which presents the efficiency of our proposed approach.
Keywords
Wavelet, Central Moments, K-Nearest Neighbor, Medical Image Classification.
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