Multi-modality medical images feature analysis

Abstract

In this research study we analyze visual features of texture, shape and color in multi-modality medical images. The analysis consists of contrast, correlation, energy and homogeneity in texture extraction. We apply Hu moment invariant method to extract shape features. Both texture and shape features are extract in local level. Color histogram is used in represent color descriptor in analysing global medical images. These features are then will be classified based on its modality using support vector machine classifier. It shows that different modality have different characteristic and the importance of selecting significance features. © 2011 Springer-Verlag.