Retinal vessel tortuosity evaluation using connected component analysis for fundus images

Image processing plays a very important role in medical analysis and it is centred on identifying retinal diseases. Any retinal disease leads to serious problems like diabetic retinopathy etc. We present a new algorithm for finding the retinal diseases by analyzing the vessel tortuosity using CCA for fundus images which is tested on a publicly available database.