A system organization for parallel image processing
Pattern Recognition - Parallel and other image analysis methods
Equivalence of Hough curve detection to template matching
Communications of the ACM
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
A concurrent on-board vision system for a mobile robot
C3P Proceedings of the third conference on Hypercube concurrent computers and applications - Volume 2
Natural Representations for Straight Lines and the Hough Transform on Discrete Arrays
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Hough Transform-An Efficient Method of Detecting Patterns in Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Multiple Window Parameter Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time FPGA implementation of Hough Transform using gradient and CORDIC algorithm
Image and Vision Computing
A compact system for real-time detection of line segments
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Resource-efficient FPGA architecture and implementation of hough transform
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
| Hi-index | 0.14 |
The Hough transform method for recognition can cope effectively with noisy backgrounds and gaps in boundaries. However, long computation time and large memory requirements have prevented it from being used in real-time applications. An architecture devised to solve those problems, with a focus on detecting straight lines, is presented. Examples are given of the use of an experimental hardware model for automatic inspection and measurement of objects in factories and laboratories. It took less than one second from picture input to straight line parameter reproduction for these examples.