A Real-Time Processor for the Hough Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of CORDIC algorithms for FPGA based computers
FPGA '98 Proceedings of the 1998 ACM/SIGDA sixth international symposium on Field programmable gate arrays
A real-time image segmentation on a massively parallel architecture
Real-Time Imaging
Benchmarking Hough transform architectures for real-time
Real-Time Imaging
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Finding Picture Edges Through Collinearity of Feature Points
IEEE Transactions on Computers
A unified algorithm for elementary functions
AFIPS '71 (Spring) Proceedings of the May 18-20, 1971, spring joint computer conference
The quantization effects of the CORDIC algorithm
IEEE Transactions on Signal Processing
An improved Hough transform voting scheme utilizing surround suppression
Pattern Recognition Letters
Resource-efficient FPGA architecture and implementation of hough transform
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
| Hi-index | 0.01 |
This article describes a real-time architecture for Hough Transform based on CORDIC algorithm and gradient for straight lines detection. The CORDIC algorithm allows the use of simple operators, such as adders and shift registers, whereas the use of gradients reduces considerably the computation quantity. The proposed real-time architecture can be easily fitted into Field Programmable Gate Array (FPGA) reconfigurable devices, since the present performance increase of this technology allows the implementation of complex applications while real-time constraints in Hough Transform for lines detection are respected for most of the video transmission standards. This approach can be easily applied for other shapes detection.