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Blood vessel segmentation and extraction using H-minima method based on image processing techniques
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DOI：10.1007/s11042-020-09646-3.png)
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摘要
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In this paper, the H-minima transform is used for blood vessel segmentation. The aim of this study is to get the high accuracy of blood vessel segmentation in retinal images. In this study the good result and good performance were got. We compared our result with other methods. Also for simulation result we implemented on DRIVE and STARE database. The proposed method shows very remarkable performance on pathological retinal images. For the implementing of the proposed method MATLAB 2019a software is used. The running time of this method was 1 s for each image and the average accuracy for STARE dataset and DRIVE dataset achieved to 0.9591 and 0.9672 respectively.
Keyword:
Fundus camera
Image processing
Retina image
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期刊
IF:
3
论文数:
2.0W
被引数:
3.2W
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