Detection of Diabetic Symptoms in Retina Images Using Analog Algorithms

In this paper a class of analog algorithms based on the concept of Cellular Neural Network (CNN) is applied in some processing operations of some important medical images, namely retina images, for detecting various symptoms connected with diabetic retinopathy. Some specific processing tasks like morphological operations, linear filtering and thresholding are proposed, the corresponding template values are given and simulations on real retina images are provided. Keywords—Diabetic retinopathy, pathology detection, cellular neural networks, analog algorithms.