Superpixel co-occurrence for quantitative description of biomedical Images

Abstract

With this study, a method for quantitative description of biomedical images based on splitting the target image into superpixels followed by categorization using pre-calculated superpixel dictionaries and calculation of co-occurrence matrices is proposed. The method has been tested on the classification of biomedical images of three types: lung CT images, histology images of ovary and thyroid tissues.