Automatic Detection of Hard Exudates in Color Retinal Images Using Dynamic Threshold and SVM Classification: Algorithm Development and Evaluation

<div>Example of retinal fundus image preprocessing. (a) Original retinal image. (b) Color normalized YIQ plane image. (c) Enhanced RGB plane image. (d) Green channel image after CLAHE (zoom into the blood vessels with brighter strip). (e) Green channel image after morphological opening. (f) Mean filtering of (e).</div>

BioMed Research International

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Figure 3: Automatic Detection of Hard Exudates in Color Retinal Images Using Dynamic Threshold and SVM Classification: Algorithm Development and Evaluation 

Figure 3 | Automatic Detection of Hard Exudates in Color Retinal Images Using Dynamic Threshold and SVM Classification: Algorithm Development and Evaluation 