Fast Hough transform: A hierarchical approach
Computer Vision, Graphics, and Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision, Graphics, and Image Processing
Detecting partially occluded ellipses using the Hough transform
Image and Vision Computing - 4th Alvey Vision Meeting
A new curve detection method: randomized Hough transform (RHT)
Pattern Recognition Letters
A probabilistic Hough transform
Pattern Recognition
Scale- and orientation-invariant generalized Hough transform—a new approach
Pattern Recognition
An optimal linear operator for step edge detection
CVGIP: Graphical Models and Image Processing
Multi-edge detection by isotropical 2-D ISEF cascade
Pattern Recognition
Combining region and edge information to extract fish oocytes in histological images
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
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The dual-point generalized Hough transform is one of the most powerful tools for object recognition. Usually a single policy is used for all types of shapes, which may give rise to problems for objects with specific shapes. A shape dependent scheme can provide us a better R-table, and consequently reduce the number of point pairs for the accumulation process. In this paper, an adaptive approach is proposed to determine the policies for selecting the point pairs such that the resultant voting process is able to reduce spurious peaks and the point selection process is made more efficient.