Adam Brzeski, Adam Blokus, Jan Cychnerski
https://pdfs.semanticscholar.org/fccb/0b92fb8641db9126925295e2e07639d86dde.pdf
Authors review the existing bleeding detection methods focusing their attention on the image processing techniques utilised in the algorithms.
In the article, 18 methods were analysed and their functional components were identified. The authors proposed six different groups, to which algorithms’ components were assigned: colour techniques, reflecting features of pixels as individual values, texture techniques, considering spatial dependencies between pixels, contour techniques for edges and contours, segmentation techniques for dividing images into meaningful regions, decision mechanisms for final interpretation of the image and other techniques that do not match any of the introduced groups.
Authors conclude that the algorithms could be still improved by applying more complete sets of techniques to address the importance of visual features of endoscopic bleeding. Also, improvement is possible in the area of decisive classifiers.
International Journal of Innovative Research in Computerand Communication Engineering, Vol. 1, Issue 6, August 2013
