Efficient Method for Locating Optic Disc in Diabetic Retinopathy Images
Diabetic retinopathy has no obvious symptoms at early stage, which leads to missing the best time for treatment. We apply image processing techniques to early diagnosis of diabetic retinopathy and present an efficient method of locating optic disc in fundus images. We first normalize the images in color, brightness, and exposure distribution to weaken the interference of pigment difference, uneven brightness and low contrast, and then extract the regions of interest in fundus images by the convolution of fundus images with a binary mask template to eliminate the influence of background on the accuracy of locating OD and decrease the computation amount. Next, we convert ROI into three grayscale images, in which the grayscale one from G channel is selected to locate OD since it is with the highest contrast and most original information. Finally, we create a universal template of optic disc for diabetic retinopathy images and design a fast method of locating OD in fundus images based on the OD template. The similarity between the OD template and the overlaid patch in fundus images is computed by means of correlation matching or standard correlation matching, and the position with maximal similarity is regarded as the center of OD. Experimental results demonstrate that our method is efficient and has a certain prospect of clinical application.
KeywordsImage processing Image detection Computer-aided diagnose Diabetic retinopathy
This work is supported by the Natural Science Foundation of Shandong Province of China under Grant No. ZR2016FM20.
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