6 August 1993 High-speed extraction of line segment features
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Proceedings Volume 2064, Machine Vision Applications, Architectures, and Systems Integration II; (1993); doi: 10.1117/12.150310
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
Abstract
A high-speed algorithm for extracting line segment features in an image is described. The extracted line segments are used as the geometric features for identifying and locating objects of interest, specifically in a Model Based Vision system. The algorithm is divided into two parts with each part being performed using separate computer hardware. The first part of the algorithm involves locating pixels in an image which correspond to edges. This part of the algorithm was implemented on the Datacube MaxVideo-20 pipelined image processing hardware executing in real time. The second part of the algorithm involves the extraction of the edge pixels in a connected manner so that line segments can be identified. This part of the algorithm was implemented in software on a Sun Sparc 2 workstation using a run-length encoded image and a chain-code mapped image generated by the Datacube MaxVideo-20 hardware.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dennis J. Wenzel, Steven B. Seida, "High-speed extraction of line segment features", Proc. SPIE 2064, Machine Vision Applications, Architectures, and Systems Integration II, (6 August 1993); doi: 10.1117/12.150310; https://doi.org/10.1117/12.150310
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KEYWORDS
Image segmentation

Image processing algorithms and systems

Feature extraction

Binary data

Edge detection

Image processing

Convolution

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