Results 201 to 210 of about 2,213,168 (246)

Randomized Hough Transform

2009
Proposed in 1962, the Hough transform (HT) has been widely applied and investigated for detecting curves, shapes, and motions in the fields of image processing and computer vision. However, the HT has several shortcomings, including high computational cost, low detection accuracy, vulnerability to noise, and possibility of missing objects. Many efforts
Lei Xu, Erkki Oja
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Research on Lane Detection and Tracking Algorithm Based on Improved Hough Transform

2018 IEEE International Conference of Intelligent Robotic and Control Engineering (IRCE), 2018
The driverless technology has developed rapidly in recent years. Unmanned vehicles need to learn to observe the road from the visual point of view if they want to achieve automatic driving, which specifically is the detection of lane lines. This includes
Xianwen Wei, Zhaojin Zhang, Zongjun Chai, W. Feng   +3 more
semanticscholar   +1 more source

Gauge Inspection Using Hough Transforms

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1983
An automatic method of inspecting the scaling accuracy of needle-type instrument gauges using a two-stage Hough transform technique is described. The system measures and verifies the relative accuracy of a gauge's response to a specified set of analog input signals.
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A probabilistic Hough transform

Pattern Recognition, 1991
Abstract The Hough Transform for straight line detection is considered. It is shown that if just a small subset of the edge points in the image, selected at random, is used as input for the Hough Transform, the performance is often only slightly impaired, thus the execution time can be considerably shortened.
N. Kiryati, Y. Eldar, A.M. Bruckstein
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A combinatorial Hough transform

Pattern Recognition Letters, 1990
Abstract A new algorithm for computing the Hough transform is presented. It calculates the parameters associated with all possible combinations of two-point line segments among the feature points in the image, rather than calculating all possible values of one of the parameters searched.
Ben-Tzvi, D., Sandler, M. B.
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Target Detection in SFCW Ground Penetrating Radar with C3 Algorithm and Hough Transform based on GPRMAX Simulation and Experimental Data

International Conference on Systems, Signals, and Image Processing, 2018
We perform target detection in B-scan images obtained using stepped frequency continuous wave (SFCW) ground-penetrating radar (GPR) simulation with Matlab and the open-source software for electromagnetic propagation simulation gprMax and using ...
V. Kafedziski, Sinisha Pecov, Dimitar Tanevski   +2 more
semanticscholar   +1 more source

Fast generalized Hough transform

Pattern Recognition Letters, 1990
Abstract A fast algorithm for the generalized Hough transform (GHT) based on the use of a hierarchical processing scheme and the inverse generalized Hough operation is proposed. By reducing the size of the image portion which need be processed in the proposed fast GHT, not only the computation time but also the number of processing elements for ...
Jeng, Sheng-Ching, Tsai, Wen-Hsiang
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Hierarchical generalized Hough transforms and line-segment based generalized Hough transforms

Pattern Recognition, 1982
Abstract Generalized Hough transforms are fast point pattern matching algorithms which have applications in image processing. Two extensions to generalized Hough transforms are described. The first allows for matching hierarchically organized point patterns. An example concerning image registration using hierarchical point patterns is described.
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Probabilistic Convergent Hough Transform

2008 International Conference on Information and Automation, 2008
To reduce the computational complexity, a novel method of standard Hough transform (SHT), named probabilistic convergent Hough transform (PCHT), is proposed in this paper. PCHT avoids unnecessary cost of SHT in computation by intermittently detecting several points of a line through fast convergence and in memory by using a one-dimensional accumulator.
null Lei Zhu, null Zhaoqi Chen
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Antialiasing the Hough transform

CVGIP: Graphical Models and Image Processing, 1991
Abstract The discretization of the Hough transform parameter plane is considered. It is shown that the popular accumulator method implies sampling of a nonbandlimited signal. The resultant aliasing accounts for several familiar difficulties in the algorithm. Bandlimiting the parameter plane would allow Nyquist sampling, thus aliasing could be avoided.
N Kiryati, A.M Bruckstein
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