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The Depth Information Estimation of Microscope Defocus Image Based-on Markov Random Field

机译:基于Markov随机场的显微镜散焦图像的深度信息估计

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For depth information estimation of microscope defocus image, a blur parameter model of defocus image based on Markov random field has been present. It converts problem of depth estimation into optimization problem. An improved Iterated Conditional Modes Algorithm has been applied to complete optimization problem, which the select of initial point employed Least squares estimate algorithm prevents that the result gets into local optimization. The experiments and simulations prove that the model and algorithm is efficiency.
机译:对于显微镜散焦图像的深度信息估计,存在基于马尔可夫随机场的散焦图像的模糊参数模型。它将深度估计问题转换为优化问题。改进的迭代条件模式算法已应用于完全优化问题,其中初始点的选择最小二乘估计算法可防止结果进入本地优化。实验和仿真证明了模型和算法是效率。

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