Biomedical Image Segmentation Based on Aggregated Morphological Spectra

It is described a method of biomedical images segmentation by discrimination of textures based on their morphological spectra. Basic notions concerning morphological spectra are given. Their properties making possible to characterize basic morphological structures independently on spatial orientation or shifts of the analyzed specimens are described. It is shown that spectral components can be chosen and used in aggregated form so as to make discrimination of textures invariant with respect to scale changing and to basic geometrical image transformations. Analysis of two types of biomedical images: aorta tissue and pancreas tissue, based on comparison of histograms of selected spectral components values illustrate the methods presented in the paper.