A Retinal Hemorrhages Detection Algorithm Based on Gray Amplitude Histogram
In order to reduce the influence of uneven brightness and dark image and large gray difference between bleeding spots on the detection results of retinal bleeding spots,a retinal bleeding spot detection algorithm based on zero threshold of gray amplitude histogram and regional feature analysis is proposed.The algorithm realizes the shadow correction of the image through the large-scale median filter,and suppresses the background interference points by combining the concave-convex line segments to complete the pre-processing operation.Automatic threshold segmentation of dark targets is carried out by the first zero point in the amplitude histogram of each row and column,and the continuity of blood vessels is improved based on the region growth of amplitude characteristics.According to the different shapes between blood vessels and bleeding points,blood vessels are removed,and bleeding points are segmented.The test results in DIARETDB1 public gallery verify the effectiveness of the algorithm.
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