Fundus image optic disc segmentation method based on rapid mean shift
A fundus image and mean shift technology, applied in the field of image processing, can solve problems such as low robustness, low segmentation efficiency, and low accuracy
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[0133] Download the public fundus image data set HEI_MED from the Internet, and select the picture numbered 37 (original fundus image) for optic disc segmentation, such as figure 2 shown. Input the original fundus image for preprocessing, such as image 3 shown. Using the multi-light source color constancy algorithm, color correction is performed on the preprocessed original fundus image. Based on the color-corrected fundus image, fast mean shift is used to divide superpixels, such as Figure 4 shown. Gaussian matched filtering is used to obtain the blood vessel map of the color-corrected fundus image, such as Figure 5 shown. Combining the obtained blood vessel information for optic disc positioning, such as Figure 6 shown.
[0134] Select the most complete R-component channel image of the optic disc in the image of the candidate region of the optic disc, and use a circular structural element with a size of 7 for morphological expansion. The R component channel imag...
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