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In this paper we present our approach on selection of regions of interest in colonoscopy videos, which consists of three stages: Region Segmentation, Region Description and Region Classification, focusing on the Region Segmentation stage. As part of our segmentation scheme, we introduce our region merging algorithm that takes into account our model of appearance of the polyp. As the results show, the output of this stage reduces the number of final regions and indicates the degree of information of these regions. Our approach appears to outperform state-of-the-art methods. Our results can be used to identify polypcontaining regions in the later stages.

Current Challenges on Polyp Detection in Colonoscopy Videos: From Region Segmentation to Region Classification. A Pattern Recognition-based Approach