SIMULTANEOUSLY IDENTIFYING ALL TRUE VESSELS FROM SEGMENTED RETINAL IMAGES
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ABSTRACT:
Here we propose the method to identify the vessel in the retinal images. In this paper, we describe a novel technique that utilizes the global information of the segmented vascular structure to correctly identify true vessels in a retinal image. We model the segmented vascular structure as a vessel segment graph and transform the problem of identifying true vessels to that of finding an optimal forest in the graph. We have presented a novel technique to identify true vessels from retinal images. The accurate identification of vessels is key to obtaining reliable vascular morphology measurements for clinical studies. The proposed method is a post processing step to vessel segmentation. The problem is modeled as finding the optimal vessel forest from a graph with constraints on the vessel trees. All vessel trees are taken into account when finding the optimal forest; therefore, this global approach is acutely aware of the mislinking of vessels. Initially we segmentation the vessel from the retinal image. After segmentation we remove the unwanted region by the use of morphological operation. And finally we trace the vessel by the use graph tracing algorithm
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