On improving the accuracy of the Hough transform
Machine Vision and Applications
Antialiasing the Hough transform
CVGIP: Graphical Models and Image Processing
Multiresolution Hough Transform-An Efficient Method of Detecting Patterns in Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Hough transform algorithm with a 2D hypothesis testing kernel
CVGIP: Image Understanding
CVGIP: Image Understanding
An analysis on quantizing the Hough space
Pattern Recognition Letters
An extension to the randomized Hough transform exploiting connectivity
Pattern Recognition Letters
Contour representation of binary images using run-type direction codes
Machine Vision and Applications
On the Inverse Hough Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Randomized or probabilistic Hough transform: unified performance evaluation
Pattern Recognition Letters - Selected papers from the 11th scandinavian conference on image analysis
Hypothesis Testing: A Framework for Analyzing and Optimizing Hough Transform Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Approach for Line Recognition in Large-size Images Using Hough Transform
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
On the Discretization of Parameter Domain in Hough Transformation
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
Old and new straight-line detectors: Description and comparison
Pattern Recognition
An improved Hough transform neighborhood map for straight line segments
IEEE Transactions on Image Processing
Detecting straight line segments using a triangular neighborhood
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Ants with three primary colors for track initiation
Expert Systems with Applications: An International Journal
A super resolution algorithm to improve the hough transform
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
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The Standard Hough Transform (HT), or the SHT, has established itself as a de-facto default technique of straight line HT evaluation. Its accuracy has been sporadically addressed in the past typically for justifying modifications within the SHT voting framework. Assessing SHT's accuracy in previously less elaborated aspects, this paper comes to a conclusion that the voting nature of the SHT limits its ability to resolve a number of existing accuracy deficiencies. The paper considers a non-voting alternative called Hough-Green Transform (HGT). Quantitative accuracy assessment is conducted on both artificially simulated and real images using an approach based on image reconstruction from projections. The HGT is shown to surpassing the SHT significantly while being almost as accurate as the continuous Radon or Hough Transforms.