PT Unknown
AU Jorge Bernal
   F. Javier Sanchez
   Fernando Vilariño
TI Reduction of Pattern Search Area in Colonoscopy Images by Merging Non-Informative Regions
BT 28th Congreso Anual de la Sociedad Española de Ingeniería Biomédica
PY 2010
AB One of the first usual steps in pattern recognition schemas is image segmentation, in order to reduce the dimensionality of the problem and manage smaller quantity of data. In our case as we are pursuing real-time colon cancer polyp detection, this step is crucial. In this paper we present a non-informative region estimation algorithm that will let us discard some parts of the image where we will not expect to find colon cancer polyps. The performance of our approach will be measured in terms of both non-informative areas elimination and polyps’ areas preserving. The results obtained show the importance of having correct non- informative region estimation in order to fasten the whole recognition process.
ER