Canny edge detection on NVIDIA CUDA

The Canny edge detector is a very popular and effective edge feature detector that is used as a pre-processing step in many computer vision algorithms. It is a multi-step detector which performs smoothing and filtering, non-maxima suppression, followed by a connected-component analysis stage to dete...

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Main Authors: Yuancheng Luo, Duraiswami, R.
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
Computer vision
Detectors
Filtering
Filters
Image edge detection
MATLAB
Performance analysis
Programming profession
Smoothing methods
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Duraiswami, R.
description The Canny edge detector is a very popular and effective edge feature detector that is used as a pre-processing step in many computer vision algorithms. It is a multi-step detector which performs smoothing and filtering, non-maxima suppression, followed by a connected-component analysis stage to detect ldquotruerdquo edges, while suppressing ldquofalserdquo non edge filter responses. While there have been previous (partial) implementations of the Canny and other edge detectors on GPUs, they have been focussed on the old style GPGPU computing with programming using graphical application layers. Using the more programmer friendly CUDA framework, we are able to implement the entire Canny algorithm. Details are presented along with a comparison with CPU implementations. We also integrate our detector in to MATLAB, a popular interactive simulation package often used by researchers. The source code will be made available as open source.
doi_str_mv 10.1109/CVPRW.2008.4563088
format conference_proceeding
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Computational modeling
Computer vision
Detectors
Filtering
Filters
Image edge detection
MATLAB
Performance analysis
Programming profession
Smoothing methods
title Canny edge detection on NVIDIA CUDA
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