Parallel computer vision
A Real-Time Processor for the Hough Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Evaluation of Multicomputers for Image Processing
Evaluation of Multicomputers for Image Processing
What have we learnt from using real parallel machines to solve real problems?
C3P Proceedings of the third conference on Hypercube concurrent computers and applications - Volume 2
Load Balancing Requirements in Parallel Implementations of Image Feature Extraction Tasks
IEEE Transactions on Parallel and Distributed Systems
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Robot vision algorithms have been implemented on an 8-node NCUBE-AT hypercube system onboard a mobile robot (HERMIES) developed at Oak Ridge National Laboratory. Images are digitized using a framegrabber mounted in a VME rack. Image processing and analysis are performed on the hypercube system. The vision system is integrated with robot navigation and control software, enabling the robot to find the front of a mockup control panel, move up to the panel, and read an analog meter. Among the concurrent algorithms used for image analysis are a new component labeling algorithm and a Hough transform algorithm with load balancing.