Automated Identification of Diabetic Retinal Exudates in Digital Color Images
Alireza Osareh

14.1 Introduction ..............................................................................................................
14.2 Background ..............................................................................................................
14.3 Overview ................................................................................................................
14.4 Previous Works on Exudates Identification .........................................................................
14.5 Data Collection and Preprocessing ....................................................................................
       14.5.1 Retinal Color Normalization and Contrast Enhancement ...................................................
14.6 Region-Level Exudate Recognition ...................................................................................
       14.6.1 Retinal Image Segmentation ..................................................................................
       14.6.2 Color Space Selection ..........................................................................................
       14.6.3 Retinal Image Coarse Segmentation .........................................................................
       14.6.4 Fine Segmentation Using Fuzzy C-Means Clustering .......................................................
       14.6.5 Segmentation Results ..........................................................................................
       14.6.6 Feature Selection ...............................................................................................
       14.6.7 Region-Level Classification ...................................................................................
                 14.6.7.1 Neural Network Classifiers ..........................................................................
                 14.6.7.2 Support Vector Machine Classifiers ................................................................
                 14.6.7.3 Comparing SVM and MLP Classifier Results .......................................................
14.7 Summary and Conclusions .............................................................................................
References ....................................................................................................................