Title: An Efficient Color Conversion Process for the Exaggeration and Segmentation of Diabetic Retinopathy in Retinal Complications Using Adaptive Fuzzy C-Means Clustering Algorithm with Gradient Magnitude and Vessel Extraction Method
Authors: D. Napoleon and K.Ragul
Abstract: The most Classiest and sensitive organ deals with the world of vision are the eye which is a complex optical organ consists of iris, cornea, pupil, sclera and conjunctiva. In which retina is one of the light sensitive layers of tissue that lie inside the eye. Retina gives a clear vision by the way where the blood vessels has not been exaggerated however vision may be lost due to the exaggeration in the blood vessels which can be termed as diabetic retinopathy. Many retinal complications can also been caused due to diabetic. The diabetic retinopathy (DR) affects the small blood vessels in the retina which may completely lost the power of vision. In this research paper, diabetic retinopathy disease is addressed by implementing the Adaptive Fuzzy C-Means Clustering Algorithm along with the gradient magnitude. Vessel Extraction method has also been implemented so as to improve the segmentation of blood vessels. The experimental result has given a healthy segmentation of the damaged blood vessels in the retina in order to address the diabetic retinopathy (DR) disease.