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Retinal Image Mosaic Base on Genetic Algorithm and Automated Blood Vessel Extracting Approach

机译:视网膜图像马赛克基础遗传算法及自动化血管提取方法

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This paper presents an automatic retinal image mosaic method, which is based on the principle of blood vessels resemblance. The method depends on the characteristics of the extracted blood vessels that are segmented by combining mathematical morphology with maximum entropy algorithm. Then, the registration objective function is developed by using the maximal overlap degree of the retinal blood vessels information and its optimal parameters are searched by employing a global optimization algorithm, i.e., Genetic Algorithm (GA). Finally, the mosaic process of retinal image is implemented through a fade-by-fade method, which can eliminate the mosaic gaps. Experimental results indicate that the proposed approach can efficiently realize the automated retinal image registration and smooth mosaic.
机译:本文提出了一种自动视网膜图像马赛克方法,基于血管相似的原理。该方法取决于通过与最大熵算法组合数学形态来分割的提取血管的特性。然后,通过使用视网膜血管信息的最大重叠程度来开发注册目标函数,并且通过采用全局优化算法,即遗传算法(GA)来搜索其最佳参数。最后,通过逐渐消化的方法实现视网膜图像的马赛克过程,这可以消除马赛克间隙。实验结果表明,该方法可以有效地实现自动视网膜图像配准和平滑马赛克。

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