Texture classification with single- and multiresolution co-occurrence maps

摘要

We have developed methods for the classification of textures with multidimensional co-occurrence histograms. Gray levels of several pixels with a given spatial arrangement are first compressed linearly and the resulting multidimensional vectors are quantized using the self-organizing map. Histograms of quantized vectors are classified by matching them with precomputed texture model histograms. In the present study, a multiple resolution technique in linear compression of pixel Values is evaluated.