A Study on Comparison of Temporally Sequential Fundus Images

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  • 眼底画像における比較読影法の検討

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The funduscopy is being developed for the early detection of adult diseases. We examined the method of judging the time-lapse change for the screening process by the comparing temporally sequential images. For registration, we propose a nonlinear transformation method that approximates the ocular shape as the parabola side. This method decreases the registration errors compared with conventional transformation. In addition, we were able to extract the features of the the-lapse change using color compensation of RGB value trasformation. The recognition rate without the time-lapse change improved about 3%.

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