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Title: RETINAL VASCULAR SYSTEM EDGE DETECTION BASED ON WAVELET IMAGE FUSION AND FIRST ORDER DERIVATIVE ALGORITHMS
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RETINAL VASCULAR SYSTEM EDGE DETECTION BASED ON WAVELET IMAGE FUSION AND FIRST ORDER DERIVATIVE ALGORITHMS
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1314-2704
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English
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19
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6.3
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A vital role in detecting eye disorders is played by the analysis of the human retina using medical imaging methods. The main objective of this study is to improve the detection of retinal blood vessels by ameliorating the overall quality of non-uniform illumination conditions, removing image artifacts, connecting the broken vessels, and generating accurate segmented retinal vascular systems. A three-stage edge detection framework is proposed. First, image denoising, contrast enhancement, stretched decorrelation and image sharpening are performed. Then, edge detection operators to extract retinal vascular trees are adopted. Their output images are fused in pairs of two using a wavelet-based method with the objective to improve the accuracy of the extracted retinal vascular structure and connect discontinuous vessels. The performance of the fusion algorithm is assessed by comparing the blood vessel diameter values over the fused, first order derivative operators generated and ground truth images. The error rate and a structural similarity metric are calculated and are regarded as a performance analysis tool. The experimental results showed that the wavelet based fusion method was feasible and effective for an accurate edge detection process.
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conference
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19th International Multidisciplinary Scientific GeoConference SGEM 2019
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19th International Multidisciplinary Scientific GeoConference SGEM 2019, 9 - 11 December, 2019
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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189-196
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9 - 11 December, 2019
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website
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cdrom
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6680
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wavelet-based fusion; edge detection operators; structural similarity metric
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