A new curve detection method: randomized Hough transform (RHT)
Pattern Recognition Letters
Generalizing the generalized hough transform
Pattern Recognition Letters
Dimension reduction by local principal component analysis
Neural Computation
Constrained Hough transforms for curve detection
Computer Vision and Image Understanding
Strip line detection and thinning by RPCL-based local PCA
Pattern Recognition Letters
A fast fixed-point BYY harmony learning algorithm on Gaussian mixture with automated model selection
Pattern Recognition Letters
A Gradient BYY Harmony Learning Algorithm for Straight Line Detection
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
A gradient BYY harmony learning algorithm on mixture of experts for curve detection
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
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Straight line detection is a basic technique in image processing and pattern recognition. It has been investigated from different aspects, but is still very challenging in practical applications. In this paper, based on the finite mixture model and under the EM framework, we maximize the Q-function by differentiation and construct a fixed-point EM algorithm for straight line detection. It is demonstrated by the experiments that this proposed algorithm can effectively detect the straight lines from a digital image or dataset.