库达
Canny边缘检测器
计算机科学
微分边缘检测器
边缘检测
探测器
MATLAB语言
图形处理单元的通用计算
平滑的
图像处理
人工智能
计算机视觉
并行计算
计算机图形学(图像)
图像(数学)
绘图
操作系统
电信
作者
Yuhua Luo,Ramani Duraiswami
标识
DOI:10.1109/cvprw.2008.4563088
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI