A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital image processing
Pipelined implementation of the multiresolution Hough transform in a pyramid multiprocessor
Pattern Recognition Letters
A Parallel Pipelined Hough Transform
Euro-Par '96 Proceedings of the Second International Euro-Par Conference on Parallel Processing-Volume II
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
OpenVIDIA: parallel GPU computer vision
Proceedings of the 13th annual ACM international conference on Multimedia
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
On the computation of the Circle Hough Transform by a GPU rasterizer
Pattern Recognition Letters
High Performance Circle Detection through a GPU Rasterization Approach
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
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A broad family of problems in computer vision and image analysis require edge and circle detection. This paper explores the properties of the Hough transform for such tasks, improving them under a novel implementation on commodity graphics hardware. We demonstrate both a faster execution and a more reliable detection under different scenarios and a range of parameters selection. Overall, a consistent 3-6 acceleration factor and beyond is achieved for a 500 MHz GeForce 7950 GX2 graphics card versus a typical 3 GHz Pentium 4 dual-core CPU.