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Matching-based focusing by Orientation Code Matching and depth reconstruction

机译:基于匹配的聚焦通过方向码匹配和深度重建

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This paper has proposed a novel and robust scheme of image focusing by introducing a new measure of focusing based on Orientation Code Matching.(hereinafter,OCM) A unique pencil-shape profile has been found through comparing the similarity between any patterns extracted at the same position within their own scenes. Based on this profile, a new evaluation function, named Complemental Pencil Volume, (hereinafter, CPV), is defined and calculated to represent local sharpness of images, either in or out of focus. Then through a designed local-scope searching algorithm, the maximum of CPV, which corresponds to the just focused image, is searching in this schema. The proposed method of focusing can be applied to cases of ill-condition with low contrast observations. Experiment results show that the OCM-based focusing is very robust to change of brightness and even more irregularities in the real imaging system, like dark condition and so on.
机译:本文提出了一种基于定向码匹配的新重点测量来提出了一种新颖的和稳健的图像聚焦方案。(在下文中,OCM)通过比较在相同提取的任何模式之间的相似性之间找到了唯一的铅笔形曲线在自己的场景中的位置。基于此配置文件,定义并计算出名为互补铅笔卷(下文中,CPV)的新评估函数,以表示图像的本地清晰度,或者在焦点中。然后通过设计的本地范围搜索算法,对应于刚刚聚焦图像的CPV的最大值正在该模式中搜索。所提出的重点方法可以应用于具有低对比度观察的病情病例。实验结果表明,基于OCM的聚焦对于改变亮度和更具不规则性的基于OCM的聚焦,如真实的成像系统,如黑暗状态等。

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