Classification of sarcomas using textural features

Deals with classification of sarcomas using textural features. The authors assume that sarcomas have a single texture and that the same scale is used for photographing the sarcoma images. 80 sorts of sarcomas are selected under those assumptions. First, the authors make database of templates of sarcomas using textural features. The intensity histogram, Fourier power spectrum, runlength matrix, fractal dimension and co-occurrence matrix are used as textural features. Second, sarcomas are collated by using template matching between unknown samples and the templates in the database. The success rate reached 92%. The result of this experiment shows the adequateness of proposed system.