Vision system for subpixel laser stripe profile extraction with real time operation

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Abstract

Computer vision systems are playing an important role in 3D measurement for industrial applications. Real time image processing algorithms are useful in order to achieve reliability in feature extraction from the global environment starting from planar images. For example, in a structured light vision system is essential to extract the pattern that a laser source is shaping with the objects under inspection. In this sense, this work describes a single strip image extraction algorithm that could be used as an analysis tool in those structured light systems. The experimental setup is implemented using the following equipment: A PC equipped with a frame grabber, a high-resolution CCD camera, a laser stripe projector and specific software developed using Visual C++6. The system accomplishes with real time operation and high subpixel accuracy. © Springer-Verlag Berlin Heidelberg 2003.

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APA

Martínez, U., Valera, B., Sánchez, J., & García, V. (2003). Vision system for subpixel laser stripe profile extraction with real time operation. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2905, 38–45. https://doi.org/10.1007/978-3-540-24586-5_4

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