Technical Report - Randomized Hough Transform: Improved Ellipse Detection with Comparison
Technical Report - Randomized Hough Transform: Improved Ellipse Detection with Comparison
Technical Report - The Hough Transform versus the UpWrite
Technical Report - The Hough Transform versus the UpWrite
Accurate and robust line segment extraction by analyzing distribution around peaks in Hough space
Computer Vision and Image Understanding
Tool wear monitoring using a fast Hough transform of images of machined surfaces
Machine Vision and Applications
Robust and efficient automated detection of tooling defects in polished stone
Computers in Industry - Special issue: Machine vision
Spherical parameter detection based on hierarchical Hough transform
Pattern Recognition Letters
A hierarchical approach for fast and robust ellipse extraction
Pattern Recognition
A new algorithm for ellipse detection by curve segments
Pattern Recognition Letters
Extraction of Partially Occluded Elliptical Objects by Modified Randomized Hough Transform
KI '07 Proceedings of the 30th annual German conference on Advances in Artificial Intelligence
Robust and efficient automated detection of tooling defects in polished stone
Computers in Industry
Circular Degree Hough Transform
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Circular Object Detection Using a Modified Hough Transform
International Journal of Applied Mathematics and Computer Science - Applied Image Processing
A real-time ellipse detection based on edge grouping
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
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This paper compares the Hough Transform and the UpWrite for the detection of lines, circles, and ellipses. Both ideal and noisy images are tested. The UpWrite is found to be more robust for images containing perturbation noise. For ideal images and images with speckle noise, the results are found to depend on the complexity of the object being detected, with more complex objects favoring the UpWrite. A program allowing the reader to experiment with these algorithms can be found at the following World Wide Web address: http://ciips.ee.uwa.edu.au/Papers/Journal_Papers/1998/02/Index.html.