Coelho, P.Cunha, A.Costa, P.Hadjileontiadis, L.Silva, F. and Gutierrez, D. and Rodríguez, J. and Figueiredo, M.2021-06-182021-06-182021978-3-03868-152-6https://doi.org/10.2312/pt.20111154https://diglib.eg.org:443/handle/10.2312/pt20111154Colour is one the distinct features in computer vision systems and can be represented in several colour spaces. The most commonly used is the RGB colour space, since most high-quality cameras used in computer vision systems provide RGB signals, for example endoscopic capsule cameras. This work describes a computer vision algorithm intended to assist the physician in the diagnosis of endoscopic diseases, such as gastrointestinal bleeding, using a colour space rotation-based method. This algorithm modifies the images RGB representation channels in such way that the bleeding information can be effectively enhanced in a single channel. Tests in endoscopic images were performed and results have shown that the proposed colour-based rotation approach successfully increases the detection of bleeding regions in endoscopic images, corroborating the usefulness in physician diagnosis assistance.!10.2312/pt.20111154225-228