Abstract
Medical trials show that individuals with Wilson disease develop recurrently a distinctive golden brown pigmentation around their corneas. This characteristic sign is known as Kayser-Fleischer ring (K-F ring). The purpose of this article is carrying on the detection method of K-F ring by image analysis. Our research has an important significance in screening and diagnosis of WD. Firstly, extracting the ROI region of iris image by pretreatment. Secondly, locate the boundary of K-F ring by the integral optimal of gradient algorithm and boundary tracking algorithm. Finally, detect the K-F ring of the image by color features which we defined in this paper. Experimental results show the validity of this approach.
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Chang, L., Yuan, W. (2015). The K-F Ring Detection Method Based on Image Analysis. In: Yang, J., Yang, J., Sun, Z., Shan, S., Zheng, W., Feng, J. (eds) Biometric Recognition. CCBR 2015. Lecture Notes in Computer Science(), vol 9428. Springer, Cham. https://doi.org/10.1007/978-3-319-25417-3_58
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DOI: https://doi.org/10.1007/978-3-319-25417-3_58
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