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Matching-based focusing by Orientation Code Matching and depth reconstruction

机译:通过方向码匹配和深度重建进行基于匹配的聚焦

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摘要

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 denned 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:通过引入一种新的基于方向码匹配的聚焦方法,本文提出了一种新颖而健壮的图像聚焦方案。(以下简称OCM)通过比较在同一时间提取的任何图案之间的相似性,发现了一种独特的铅笔形轮廓在自己场景中的位置。基于此配置文件,可以定义并计算一个名为“补充铅笔体积”(以下称为CPV)的新评估功能,以表示焦点对准或焦点对准时图像的局部清晰度。然后,通过设计的局部范围搜索算法,在此方案中搜索与刚聚焦图像相对应的CPV最大值。所提出的聚焦方法可以应用于低对比度观察的不适情况。实验结果表明,基于OCM的聚焦对于亮度变化以及真实成像系统中的更多不规则性(例如黑暗条件等)非常鲁棒。

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