The MIN PFS problem and piecewise linear model estimation
Discrete Applied Mathematics - Special issue: Third ALIO-EURO meeting on applied combinatorial optimization
Fast Line Detection Algorithms Based on Combinatorial Optimization
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Tool wear monitoring using a fast Hough transform of images of machined surfaces
Machine Vision and Applications
Extended Hough transform for linear feature detection
Pattern Recognition
Geometric Structure Filtering Using Coupled Diffusion Process and CNN-Based Approach
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
50 years of CORDIC: algorithms, architectures, and applications
IEEE Transactions on Circuits and Systems Part I: Regular Papers
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
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A statistical image fusion scheme for multi focus applications
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Image segmentation using fuzzy logic, neural networks and genetic algorithms: survey and trends
Machine Graphics & Vision International Journal
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The authors describe a new algorithm for the fast Hough transform (FHT) that satisfactorily solves the problems other fast algorithms propose in the literature-erroneous solutions, point redundance, scaling, and detection of straight lines of different sizes-and needs less storage space. By using the information generated by the algorithm for the detection of straight lines, they manage to detect the segments of the image without appreciable computational overhead. They also discuss the performance and the parallelization of the algorithm and show its efficiency with some examples