A probabilistic Hough transform
Pattern Recognition
CVGIP: Image Understanding
An extension to the randomized Hough transform exploiting connectivity
Pattern Recognition Letters
Position estimation for mobile robots in dynamic environments
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Local lines: a linear time line detector
Pattern Recognition Letters
A simple and robust line detection algorithm based on small eigenvalue analysis
Pattern Recognition Letters
Embedded Signal Processing with the Micro Signal Architecture
Embedded Signal Processing with the Micro Signal Architecture
A Swift and Memory Efficient Hough Transform for Systems with Limited Fast Memory
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
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This paper presents implementation of a memory efficient all integer line feature extraction algorithm for tiny autonomous mobile robot with limited on-chip memory. A circular buffer is used to bring image data from off chip to the on chip memory of the DSP for detecting edges. Afterwards a gradient based Hough transform is used to group collinear pixels which are processed to detect end points and length of the line segments. Approximation of the two dimensional Hough parameter space using a one dimensional array is discussed. Experimental results illustrate the performance of these features extraction on real and synthetic images.