利用加权颜色模型分析视盘提取

M. A. Zulkifley, A. Hussain, M. Mustafa, Aouache Mustapha
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引用次数: 3

摘要

视盘分割是青光眼自动检测系统中至关重要的一步。目前的方法主要集中在RGB或灰色模型的确定性算法上。在本文中,我们提出了一种结合各种颜色模型的统计集成方法。驱动动机是每种颜色模型在特定环境或情况下准确工作的能力。将HSV, RGB和灰色的每个颜色模型的直方图制成表格,以近似颜色分布。最高和第二高之间的比率将是熔合输出的贡献权重。使用RIM-One数据库对性能进行了模拟。检测的平均灵敏度为0.912,特异度为0.832。
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On analyzing optic disc extraction through weighted colour models
Optic disc segmentation is a crucial step in automated glaucoma detection system through Cup-to-Disc ratio measurement. Recent approaches focus on deterministic algorithm of RGB or grey model only. In this paper, we proposed a statistically integrated approach by combining various colour models. The driving motivation is the ability of each colour model to work accurately in certain environments or cases. Histogram of ach colour model of HSV, RGB and grey will be tabulated to approximate the colour distribution. The ratio between the highest and the second highest will be the contribution weightage of the fused output. The performance is simulated by using RIM-One database. The average sensitivity and specificity of the detection are 0.912 and 0.832 respectively.
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