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Algorithm for Bleeding Determination Based On Object Recognition and Local Color Features in Capsule Endoscopy

Authors: Gilwon Yoon, Yong-Gyu Lee, Jin Hee Park, Youngdae Seo

Abstract:

Automatic determination of blood in less bright or noisy capsule endoscopic images is difficult due to low S/N ratio. Especially it may not be accurate to analyze these images due to the influence of external disturbance. Therefore, we proposed detection methods that are not dependent only on color bands. In locating bleeding regions, the identification of object outlines in the frame and features of their local colors were taken into consideration. The results showed that the capability of detecting bleeding was much improved.

Keywords: Image Processing, Object recognition, Endoscopy, Bleeding, RGB

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1070181

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