首页> 外文会议>International Conference on Bioimaging >Principal Component Analysis based Colour Scheme Optimisation in Eye Fundus Images Contrast Enhancement for Detection and Evaluation of Drusen in Age Related Macular Degeneration Patients' Follow up
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Principal Component Analysis based Colour Scheme Optimisation in Eye Fundus Images Contrast Enhancement for Detection and Evaluation of Drusen in Age Related Macular Degeneration Patients' Follow up

机译:基于主组分分析的眼底图像对比度增强葡萄糖蛋白患者对比增强患者的逆向增强

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Efficiency of the patient status monitoring in Age Related Macular Degeneration cases, based on evaluation of morphological properties eye fundus images, can be significantly increased by specific contrast enhancement in the images. Objects of interest - drusen (focal deposits of extracellular debris located between the basal lamina of the retinal pigment epithelium and the inner collagenous layer of Bruch membrane) usually are represented by various intensity but the same unique color in the image. Construction of the optimal color scheme to increase the contrast of drusen can be realized by means of Principal Component Analysis, which transforms original RGB color representation into principal components space. The study demonstrates that proposed method can increase contrast-to-noise ratio of the drusen areas 10-fold or more.
机译:患者状态监测效率在年龄相关性黄斑变性病例中,基于形态学性质眼底图像的评估,通过图像中的特异性对比增强可以显着提高。感兴趣的对象 - 德鲁森(位于视网膜颜料上皮的基底薄片和Bruch膜的基底薄膜之间的细胞外碎片)通常由各种强度而是图像中相同的独特颜色表示。通过主成分分析可以实现增加博森对比度的最佳颜色方案的结构,将原始RGB颜色表示转化为主成分空间。该研究表明,所提出的方法可以提高10倍或更多的玻璃玻璃区域的对比度。

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