A new approach for circle detection on multiprocessors
Journal of Parallel and Distributed Computing
Assessing error of fit functions for ellipses
Graphical Models and Image Processing
The Hough Transform Versus the UpWrite
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finding circles by an array of accumulators
Communications of the ACM
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Measuring Shape: Ellipticity, Rectangularity, and Triangularity
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
IEEE Transactions on Image Processing
Detection of hematopoietic stem cells in microscopy images using a bank of ring filters
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Memory usage reduction in Hough transform based music tunes recognition systems
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Chinese chess recognition based on log-polar transform and FFT
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part IV
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A practical modification of the Hough transform is proposed that improves the detection of low-contrast circular objects. The original circular Hough transform and its numerous modifications are discussed and compared in order to improve both the efficiency and computational complexity of the algorithm. Medical images are selected to verify the algorithm. In particular, the algorithm is applied to localize cell nuclei of cytological smears visualized using a phase contrast microscope.