Automated Localization and Accurate Segmentation of Optic Disc Based on Intensity within a Minimum Enclosing Circle

Abstract : This paper presents a method for automated localization and accurate segmentation of the optic disc. An intensity threshold is determined and select all the pixels whose intensities are greater than the threshold, by erosion the optic disc can be localized. By dilation and region filling, a minimum enclosing circle which can completely hold the optic disc is determined, within the circle, the vessels are eliminated by replacing the darker vessel pixels with brighter pixels. Define the intensity features of the optic disc boundary , and select the pixels according to the features, then the optic disc may be segmented. The experiment shows that compared to the active contour models, this method is more efficient and accurate on the boundary extraction of the optic disc.
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Communication dans un congrès
Zhongzhi Shi; Zhaohui Wu; David Leake; Uli Sattler. 8th International Conference on Intelligent Information Processing (IIP), Oct 2014, Hangzhou, China. Springer, IFIP Advances in Information and Communication Technology, AICT-432, pp.216-220, 2014, Intelligent Information Processing VII. 〈10.1007/978-3-662-44980-6_24〉
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Ping Jiang, Quansheng Dou. Automated Localization and Accurate Segmentation of Optic Disc Based on Intensity within a Minimum Enclosing Circle. Zhongzhi Shi; Zhaohui Wu; David Leake; Uli Sattler. 8th International Conference on Intelligent Information Processing (IIP), Oct 2014, Hangzhou, China. Springer, IFIP Advances in Information and Communication Technology, AICT-432, pp.216-220, 2014, Intelligent Information Processing VII. 〈10.1007/978-3-662-44980-6_24〉. 〈hal-01383335〉

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