研究目的
To resolve the ambiguity of edge measurement in optical surface profilometry by developing a novel edge detection approach that incorporates a new algorithm using both the boundary subset and corner subset for accurate edge reconstruction.
研究成果
The developed method achieved a 15-fold improvement in detection accuracy, with measurement error controlled within 1%. The precision of the measurement, as one standard deviation, was also kept below 1.05% of the measuring range.
研究不足
The study acknowledges that the subset size and speckle pattern contrast are crucial parameters influencing measurement precision, indicating potential areas for optimization in future research.
1：Experimental Design and Method Selection:
The study developed a novel edge detection approach incorporating a new algorithm using both the boundary subset and corner subset for accurate edge reconstruction.
2：Sample Selection and Data Sources:
A pre-calibrated gauge block and a circle target were reconstructed to prove the feasibility of the proposed approach. Experiments on industrial objects with various surface reflective characteristics were also conducted.
3：List of Experimental Equipment and Materials:
The 3D optical probe was incorporated with a three-axis scanning stage via Ethernet to detect speckle images.
4：Experimental Procedures and Operational Workflow:
The proposed approach was developed using C++ on a personal computer with
5：2 Hz i5-4570 CPU and 4GB RAM. Data Analysis Methods:
The variance of the normalized cross-correlation coefficients along the search direction was taken as the quality-filtering threshold.
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