解码方法
二进制数
计算机科学
编码(社会科学)
模式识别(心理学)
人工智能
算法
图像分辨率
数学
计算机视觉
统计
算术
作者
Haitao Wu,Yiping Cao,Yongbo Dai,Zhimi Wei
出处
期刊:IEEE transactions on image processing
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:33: 2703-2713
被引量:3
标识
DOI:10.1109/tip.2024.3381773
摘要
Temporal phase unwrapping based on single auxiliary binary coded pattern has been proven to be effective for high-speed 3D measurement. However, in traditional spatial binary coding, it often leads to an imbalance between the number of periodic divisions and codewords. To meet this challenge, a large codewords orthogonal spatial binary coding method is proposed in this paper. By expanding spatial multiplexing from 1D to 2D orthogonal direction, it goes beyond the traditional 8 codewords to 27 codewords at three-level periodic division. In addition, a novel full-period connected domain segmentation technique based on local localization is proposed to avoid the time-consuming global iterative erosion and complex anomaly detection in traditional methods. For the decoding process, a purely spatial codewords recognition and a spatial-temporal hybrid codewords recognition methods are established to better suppress the percentage offset caused by static defocusing and dynamic motion, respectively. Obviating the need for intricate symbol recognition, the decoding process in our proposed method encompasses a straightforward analysis of statistical distribution. Building upon the development of special spatial binary coding, we have achieved a well-balance between low periodic division and large codewords for the first time. The experimental results verify the feasibility and validity of our proposed whole image processing method in both static and dynamic measurements.
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