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Lung Tissue Classification Using Undecimated Wavelet Transform
Abstract
In this paper, we propose a new method for the classification offour categories of lung tissues in HRCT images, with feature based image patch approximation to provide both low inter-class distinctions and high intra-class variations. The feature descriptor used is the translation and scale invariant undecimated wavelet transform and the features are extracted from the wavelet coefficients using the GLCM and SVD techniques. The proposed method is evaluated on a publicly available ILD database. The k-nearest neighbour classifier is used and the classification accuracy is 79.275%.
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