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A Novel Region Selection Algorithm for Auto-focusing Method Based on Depth from Focus

机译:一种基于焦点深度的自对焦方法的新型区域选择算法

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Region selection algorithm for auto-focusing method based on depth from focus plays an important role in obtaining a high-quality image. A novel algorithm is proposed after analyzing different region selection algorithms. Firstly, the gradient image is obtained through Scharr operator with improved templates. Then the region with maximum accumulation value is selected as the final auto-focusing region based on global searching with fixed step. The experiments show that the proposed algorithm is more accurate compared with other algorithms.
机译:基于焦点深度的自对焦方法的区域选择算法在获得高质量图像方面发挥着重要作用。在分析不同区域选择算法之后提出了一种新颖算法。首先,通过Scharr操作员获得梯度图像,具有改进的模板。然后,基于使用固定步骤的全局搜索,选​​择具有最大累积值的区域作为最终的自我聚焦区域。实验表明,与其他算法相比,该算法更准确。

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