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

Xiangjin Zeng, Xinhan Huang, Min Wang, Peng Li
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Abstract

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.
基于马尔科夫随机场的显微镜离焦图像深度信息估计
针对显微镜离焦图像的深度信息估计,提出了一种基于马尔可夫随机场的离焦图像模糊参数模型。它将深度估计问题转化为优化问题。将改进的迭代条件模式算法应用于完全优化问题,其初始点的选择采用最小二乘估计算法,避免了结果陷入局部最优。实验和仿真证明了该模型和算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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