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18 September 1997 Region segmentation based on 3D geometry from range images
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Proceedings Volume 3205, Machine Vision Applications, Architectures, and Systems Integration VI; (1997) https://doi.org/10.1117/12.285561
Event: Intelligent Systems and Advanced Manufacturing, 1997, Pittsburgh, PA, United States
Abstract
Region segmentation provides a valid information check point and background knowledge for higher level machine vision tasks that rely on the fundamental image processing and analysis results such as segmentations. Our study of segmenting regions of interest on range images shows that knowing local surface geometries becomes the key to successfully solving segmentation problems. In this paper, three topics are presented and the experiments are shown: (1) segmentation based on morphological watershed algorithm; (2) a multiscale approach using morphology; and (3) a segmentation method based on surface normals. The examples used in this study are from the range images taken by a laser radar imager. The applications are focused in the area of manufacturing automation and inspection.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dongming Zhao, Jenny J. Chen, Xingjun Wang, and Sean X. Zhang "Region segmentation based on 3D geometry from range images", Proc. SPIE 3205, Machine Vision Applications, Architectures, and Systems Integration VI, (18 September 1997); https://doi.org/10.1117/12.285561
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