计算机科学
分割
像素
区间(图论)
相(物质)
算法
数字全息术
计算
噪音(视频)
人工智能
质量(理念)
全息术
图像分割
搜索算法
模式识别(心理学)
计算机视觉
图像(数学)
数学
光学
哲学
物理
有机化学
化学
组合数学
认识论
作者
Anik Ghosh,Rishikesh Kulkarni,Rajshekhar Gannavarpu
标识
DOI:10.1080/09500340.2022.2101704
摘要
A quality-guided phase unwrapping algorithm is proposed based on the breadth-first-search and multi-level segmentation of the phase quality interval. In the proposed method, the pixels having phase quality values below a threshold associated with a given segment are unwrapped based on the breadth-first-search strategy implemented in a recursive manner. The pixel selection based on the multi-level phase quality interval segmentation allows to perform noise-robust phase unwrapping and the recursive breadth-first-search technique offers computational efficiency in the implementation of proposed algorithm. Three segmentation strategies are investigated in reference to the phase unwrapping accuracy. Simulation and experimental results indicate that the proposed algorithm offers desirable trade-off between the phase unwrapping accuracy and computation time.
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