Detection of piecewise-linear signals by the randomized Hough transform
Pattern Recognition Letters
Constrained Hough transforms for curve detection
Computer Vision and Image Understanding
Digital Image Processing
Applying the Hough transform pseudo-linearity property to improve computing speed
Pattern Recognition Letters
The randomized-Hough-transform-based method for great-circle detection on sphere
Pattern Recognition Letters
Hough transform based fast skew detection and accurate skew correction methods
Pattern Recognition
Theoretical quantification of shape distortion in fuzzy Hough transform
Fuzzy Sets and Systems
SPReAD: on spherical part recognition by axial discretization in 4d hough space
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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Hough transform (HT) is a well-established method for curve detection and recognition due to its robustness and processing capability. Being the core principle, voting principle needs to find the max voting rate, which makes it impossible to detect many targets from single image synchronously. In this paper, an improved Hough transform algorithm which combines with clustering is presented. The algorithm can search many targets in the image once when the number of targets is known. The experiments on iris location show that the proposed approach can detect the needed targets in the image in reality.