6.5 Hough Transform -- Use and Theory

Chapter Contents (Back)
Hough. Hough Transform. Robust Technique.

CVOnline: Hough Transform,
CV-Online2006.
WWW Link. Survey, Hough. BibRef 0600

Hough Transform Code,
2007.
WWW Link. Code, Hough Transform. Code, Hough Transform, C.

Hough, P.V.C.,
Method and Means for Recognizing Complex Patterns,
US_Patent3,069,654, December 18, 1962. Hough.
WWW Link. The most cited and least read references. BibRef 6212

Duda, R.O., Hart, P.E.,
Use of the Hough Transform to Detect Lines and Curves in Pictures,
CACM(15), No. 1, January 1972, pp. 11-15. BibRef 7201 CMetImAly77(204-208). Early discussion of how to use the technique. BibRef

Daly, J.A.,
Some dual problems in pattern recognition,
PR(3), No. 1, April 1971, pp. 73-84.
Elsevier DOI 0309
Measurements are considered to form the coordinate axes of the primal space, and sample patterns are considered to provide the coordinate axes of the dual space. BibRef

Stockman, G.C., Agrawala, A.K.,
Equivalence of Hough Curve Detection to Template Matching,
CACM(20), No. 11, November 1977, pp. 820-822. BibRef 7711

Sklansky, J.,
On the Hough Technique for Curve Detection,
TC(27), No. 10, October 1978, pp. 923-926. BibRef 7810

Deans, S.R.,
Hough Transform from the Radon Transform,
PAMI(3), No. 2, March 1981, pp. 185-188.
See also Radon Transform and Some of its Applications, The. BibRef 8103

van Veen, T.M., Groen, F.C.A.,
Discretization Errors in the Hough Transform,
PR(14), No. 1-6, 1981, pp. 137-145.
Elsevier DOI BibRef 8100

Brown, C.M.,
Inherent Bias and Noise in the Hough Transform,
PAMI(5), No. 5, September 1983, pp. 493-505. BibRef 8309

Illingworth, J., Kittler, J.V.,
A Survey of the Hough Transform,
CVGIP(44), No. 1, October 1988, pp. 87-116.
Elsevier DOI Survey, Hough. Hough. Hough, Survey. This should be the basic standard reference in the future. BibRef 8810

Princen, J.P., Illingworth, J., Kittler, J.V.,
A Formal Definition of the Hough Transform: Properties and Relationships,
JMIV(1), No. 1, 1992, pp. 153-168. BibRef 9200

O'Gorman, L., Sanderson, A.C.,
The Converging Squares Algorithm: An Efficient Method for Locating Peaks in Multidimensions,
PAMI(6), No. 3, May 1984, pp. 280-288. BibRef 8405

O'Gorman, L., Sanderson, A.C.,
Some Extensions of the Converging Squares Algorithm for Image Feature Analysis,
PAMI(8), No. 4, July 1986, pp. 520-524. BibRef 8607

Svalbe, I.D.,
Natural Representations for Straight Lines and the Hough Transform on Discrete Arrays,
PAMI(11), No. 9, September 1989, pp. 941-950.
IEEE DOI BibRef 8909

Hunt, D.J.[Douglas J.], Nolte, L.W.[Loren W.], Ruedger, W.H.[W. Howard],
Performance of the Hough Transform and Its Relationship to Statistical Signal Detection Theory,
CVGIP(43), No. 2, August 1988, pp. 221-238.
Elsevier DOI BibRef 8808
And: PESIPS93(xx-yy). Comparison of the two for curve detection in corrupted digital images, with statistical detection methods being better. BibRef

Hunt, D.J.[Douglas J.], Nolte, L.W.[Loren W.], Reibman, A.R.[Amy R.], Ruedger, W.H.[W. Howard],
Hough Transform and Signal Detection Theory Performance for Images with Additive Noise,
CVGIP(52), No. 3, December 1990, pp. 386-401.
Elsevier DOI BibRef 9012

Petkovic, D., Niblack, W., Flickner, M.D.,
Projection-Based High Accuracy Measurement of Straight Line Edges,
MVA(1), 1988, pp. 183-199. BibRef 8800

Niblack, W., Petkovic, D.,
On Improving the Accuracy of the Hough Transform,
MVA(3), 1990, pp. 87-106. BibRef 9000

Niblack, W., Petkovic, D.,
On Improving the Accuracy of The Hough Transform: Theory, Simulations, and Experiments,
CVPR88(574-579).
IEEE DOI BibRef 8800

Maitre, H.,
Contribution to the Prediction of Performances of the Hough Transform,
PAMI(8), No. 5, September 1986, pp. 669-674. Explores the limits of the Hough with noisy data, how good it is. BibRef 8609

Picton, P.D.,
Hough Transform References,
PRAI(1), 1987, pp. 413-425. BibRef 8700

Krishnapuram, R.[Raghuram], Casasent, D.[David],
Hough Space Transformations for Discrimination and Distortion Estimation,
CVGIP(38), No. 3, June 1987, pp. 299-316.
Elsevier DOI BibRef 8706

Wright, S.,
Hough Transform Analysis of Data from a Planar Array of Image Sensors,
IVC(5), No. 2, May 1987, pp. 121-126.
Elsevier DOI BibRef 8705

Bongiovanni, G., Guerra, C., Levialdi, S.,
Computing the Hough Transform on a Pyramid Architecture,
MVA(3), 1990, pp. 117-123. For other transforms:
See also Computing Shape Description Transforms on a Multiresolution Architecture. BibRef 9000

Tseng, C.T.T.[Chea-Tin Tim], Moret, B.M.E.[Bernard M. E.],
A new method for one-dimensional linear feature transformations,
PR(23), No. 7, 1990, pp. 745-752.
Elsevier DOI 0401
Transformation of an initial pattern space into a one-dimensional new space. BibRef

Stephens, R.S.,
Probabilistic Approach to the Hough Transform,
IVC(9), No. 1, February 1991, pp. 66-71.
Elsevier DOI BibRef 9102
Earlier:
A probabilistic approach to the Hough Transform,
BMVC90(xx-yy).
PDF File. 9009
BibRef

Thazhuthaveetil, M.J.[Matthew J.], Shah, A.V.[Anish V.],
Parallel Hough Transform Algorithm Performance,
IVC(9), No. 2, April 1991, pp. 88-92.
Elsevier DOI BibRef 9104

Ben-Tzvi, D., Naqvi, A.A., Sandler, M.B.,
Synchronous Multiprocessor Implementation of the Hough Transform,
CVGIP(52), No. 3, December 1990, pp. 437-446.
Elsevier DOI BibRef 9012

Ben-Tzvi, D., Naqvi, A.A., Sandler, M.B.,
Efficient Parallel Implementation of the Hough Transform on a Distributed Memory System,
IVC(7), No. 3, August 1989, pp. 167-172.
Elsevier DOI BibRef 8908

Jeng, S.C.[Sheng-Ching], Tsai, W.H.[Wen-Hsiang],
Scale- and Orientation-Invariant Generalized Hough Transform: A New Approach,
PR(24), No. 11, 1991, pp. 1037-1051.
Elsevier DOI BibRef 9100

Vinod, V.V., Chaudhury, S.[Santanu], Ghose, S., Mukherjee, J.,
A Connectionist Approach for Peak Detection in Hough Space,
PR(25), No. 10, October 1992, pp. 1253-1264.
Elsevier DOI BibRef 9210
And: A1, A2, A4, A3:
A Connectionist Approach for Gray Level Image Segmentation,
ICPR92(III:489-492).
IEEE DOI Connectionist.
See also Connectionist Approach for Clustering with Applications in Image-Analysis, A. BibRef

Greenspan, H., Porat, M., Zeevi, Y.Y.,
Projection-Based Approach to Image Analysis: Pattern Recognition and Representation in the Position-Orientation Space,
PAMI(14), No. 11, November 1992, pp. 1105-1110.
IEEE DOI Not a Hough, but a projection on a given basis. BibRef 9211

Kao, T.W.[Tzong-Wann], Horng, S.J.[Shi-Jinn], Wang, Y.L.[Yue-Li], Chung, K.L.[Kuo-Liang],
A Constant Time Algorithm for Computing Hough Transform,
PR(26), No. 2, February 1993, pp. 277-286.
Elsevier DOI BibRef 9302

Lee, S.S.[Shung-Shing], Horng, S.J.[Shi-Jinn], Kao, T.W.[Tzong-Wann], Tsai, H.R.[Horng-Ren],
Optimal Computing Hough Transform on a Reconfigurable Array of Processors with Wider Bus Networks,
PR(29), No. 4, April 1996, pp. 603-613.
Elsevier DOI
See also Image-Processing on a Reconfigurable Array of Processors with Wider Bus Networks.
See also Entropy Thresholding and Its Parallel Algorithm on the Reconfigurable Array of Processors with Wider Bus Networks. BibRef 9604

Princen, J.P., Illingworth, J., Kittler, J.V.,
Hypothesis Testing: A Framework for Analysing and Optimizing Hough Transform Performance,
PAMI(16), No. 4, April 1994, pp. 329-341.
IEEE DOI BibRef 9404
Earlier:
Hypothesis Testing: A Framework for Analysing and Optimising Hough Transform Performance,
ICCV90(427-434).
IEEE DOI Each point in HT array is a test of a given hypothesis for a curve. BibRef

O'Rourke, J.,
Motion Detection Using Hough Techniques,
PRIP81(82-87). Hough transform as a dynamically quantized space. BibRef 8100

Califano, A., Bolle, R.M.,
The Multiple Window Parameter Transform,
PAMI(14), No. 12, December 1992, pp. 1157-1170.
IEEE DOI Improve the acuracy an efficiency of the accumulation techniques. BibRef 9212

Austin, W.J., Wallace, A.M., Fraitot, V.,
Parallel Algorithms for Plane Detection Using an Adaptive Hough Transform,
IVC(9), No. 6, December 1991, pp. 372-384.
Elsevier DOI BibRef 9112

Xu, L., Oja, E.,
Randomized Hough Transform (RHT): Basic Mechanisms, Algorithms, and Computational Complexities,
CVGIP(57), No. 2, March 1993, pp. 131-154.
DOI Link BibRef 9303
Earlier:
Further Developments on RHT: Basic Mechanisms, Algorithms, and Computational Complexities,
ICPR92(I:125-128).
IEEE DOI Theoretical and experimental analysis shows randomized technique is faster and smaller storage. BibRef

Xu, L., Oja, E., Kultanen, P.,
A New Curve Detection Method: Randomized Hough Transform (RHT),
PRL(11), No. 5, May 1990 pp. 331-338. BibRef 9005
Earlier: A3, A1, A2:
Randomized Hough transform (RHT),
ICPR90(I: 631-635).
IEEE DOI 9006
BibRef

Palmer, P.L., Petrou, M., Kittler, J.V.,
A Hough Transform Algorithm with a 2D Hypothesis-Testing Kernel,
CVGIP(58), No. 2, September 1993, pp. 221-234.
DOI Link BibRef 9309
Earlier: A1, A3, A2: ICPR92(III:276-279).
IEEE DOI
See also Classification of Sets of Mixed Pixels with the Hypothesis-Testing Hough Transform. BibRef

Palmer, P.L., Kittler, J.V., Petrou, M.,
An Optimizing Line Finder Using a Hough Transform Algorithm,
CVIU(67), No. 1, July 1997, pp. 1-23.
DOI Link 9707
BibRef
Earlier: A1, A3, A2:
An Optimisation Approach to Improving the Accuracy of the Hough Transform: Plane Orientations from Skew Symmetry,
CVPR93(682-683).
IEEE DOI BibRef

Palmer, P.L., Kittler, J.V., Petrou, M.,
Using Focus of Attention with the Hough Transform for Accurate Line Parameter-Estimation,
PR(27), No. 9, September 1994, pp. 1127-1134.
Elsevier DOI BibRef 9409
Earlier: A1, A3, A2:
Accurate line parameter estimation using a Hough transform algorithm and focus of attention,
SCIA93(129-136). BibRef

Mirmehdi, M., Palmer, P.L., Kittler, J.V.,
Robust Line-Segment Extraction Using Genetic Algorithms,
ICIPA97(141-145). BibRef 9700

Li, Z.N., Yao, B.G., Tong, F.,
Linear Generalized Hough Transform and Its Parallelization,
IVC(11), No. 1, January-February 1993, pp. 11-24.
Elsevier DOI BibRef 9301
Earlier:
A linear generalized Hough transform and its parallel implementation,
CVPR91(672-673).
IEEE DOI BibRef

Yuen, S.Y.K.[Shiu Yin K.], Lam, T.S.L.[Tze Shan L.], Leung, N.K.D.[Nang Kwok D.],
Connective Hough Transform,
IVC(11), No. 5, June 1993, pp. 295-301.
Elsevier DOI BibRef 9306
Earlier: A1, Only: BMVC91(xx-yy).
PDF File. 9109
BibRef

Leavers, V.F.,
Survey: Which Hough Transform?,
CVGIP(58), No. 2, September 1993, pp. 250-264.
DOI Link Survey, Hough. BibRef 9309

Han, J.H., Koczy, L.T., Poston, T.,
Fuzzy Hough Transform,
PRL(15), No. 7, July 1994, pp. 649-658. BibRef 9407

Tao, L.G., King, T.G.,
Modified Hough Transforms For Feature Recognition On Deformable Patterned Materials,
IVC(12), No. 7, September 1994, pp. 465-472.
Elsevier DOI BibRef 9409

Rosenfeld, A.[Azriel], Weiss, I.,
A Convex Polygon Is Determined by Its Hough Transform,
PRL(16), No. 3, March 1995, pp. 305-306. BibRef 9503

Kälviäinen, H.[Heikki], Hirvonen, P.[Petri], Xu, L.[Lei], Oja, E.[Erkki],
Probabilistic and Nonprobabilistic Hough Transforms: Overview and Comparisons,
IVC(13), No. 4, May 1995, pp. 239-252.
Elsevier DOI BibRef 9505
Earlier:
Comparisons of Probabilistic and Non-Probabilistic Hough Transforms,
ECCV94(B:350-360).
Springer DOI BibRef

Shearer, K., Kitchen, L.,
Filling Gaps in the Hough-Transform Voting Locus for N-Dimensional Parameter Spaces,
PRL(16), No. 10, October 1995, pp. 1105-1109. BibRef 9510

Shapiro, V.A.[Vladimir A.],
On the Hough Transform of Multilevel Pictures,
PR(29), No. 4, April 1996, pp. 589-602.
Elsevier DOI BibRef 9604

Shaked, D., Yaron, O., Kiryati, N.,
Deriving Stopping Rules for the Probabilistic Hough Transform by Sequential-Analysis,
CVIU(63), No. 3, May 1996, pp. 512-526.
DOI Link 9606
BibRef
Earlier: ICPR94(B:229-234).
IEEE DOI 9410
BibRef

Kiryati, N., Eldar, Y., Bruckstein, A.M.,
A Probabilistic Hough Transform,
PR(24), No. 4, 1991, pp. 303-316.
Elsevier DOI BibRef 9100
Earlier: Robust90(xx). BibRef

Imiya, A.,
Detection of Piecewise-Linear Signals by the Randomized Hough Transform,
PRL(17), No. 7, June 10 1996, pp. 771-776. 9607
BibRef

Kalviainen, H., Hirvonen, P., Oja, E.,
Houghtool: A Software Package for the Use of the Hough Transform,
PRL(17), No. 8, July 1 1996, pp. 889-897. 9608
BibRef

Allada, V., Anand, S.,
Efficient Vertex Detection Algorithms Using the Hough Transform,
IJAMT(11), No. 6, 1996, pp. 394-405. 9608
BibRef

Bruguera, J.D., Guil, N., Lang, T., Villalba, J., Zapata, E.L.,
Cordic Based Parallel/Pipelined Architecture for the Hough Transform,
VLSIVideo(12), No. 3, June 1996, pp. 207-221. 9608
BibRef

Kiryati, N.[Nahum], Lindenbaum, M., Bruckstein, A.M.[Alfred M.],
Digital or Analog Hough Transform,
PRL(12), 1991, pp. 291-297. BibRef 9100
Earlier: BMVC90(xx-yy).
PDF File. 9009
BibRef

Nagao, M., Nakajima, S.,
On the Relation Between the Hough Transformation and the Projection Curves of a Rectangular Window,
PRL(6), 1987, pp. 185-188. BibRef 8700

Nixon, M.S.,
Application of the Hough Transform to Correct for Linear Variation of Background Illumination in Images,
PRL(3), 1985, pp. 191-194. BibRef 8500

Kälviäinen, H.[Heikki], Hirvonen, P.,
An Extension to the Randomized Hough Transform Exploiting Connectivity,
PRL(18), No. 1, January 1997, pp. 77-85. 9704
BibRef
Connective Randomized Housh Transform (CRHT),
SCIA95(15-26). BibRef

Kyrki, V., Peusaari, J., Kälviäinen, H.,
Multiprocessor Implementation of the Randomized Hough Transform,
SCIA01(P-W4B). 0206
BibRef

Hansen, K.[Klaus], Andersen, J.D.[Jens Damgaard],
Understanding the Hough Transform: Hough Cell Support and Its Utilization,
IVC(15), No. 3, March 1997, pp. 205-218.
Elsevier DOI 9704
BibRef

Yuen, S.Y.[Shiu Yin], Ma, C.H.[Chi Ho],
An Investigation of the Nature of Parameterization for the Hough Transform,
PR(30), No. 6, June 1997, pp. 1009-1040.
Elsevier DOI 9706
BibRef
Earlier: ICPR96(II: 537-541).
IEEE DOI 9608
(City Univ. of Hong Kong, HK) BibRef

Soffer, M.[Menashe], Kiryati, N.[Nahum],
Guaranteed Convergence of the Hough Transform,
CVIU(69), No. 2, February 1998, pp. 119-134.
DOI Link BibRef 9802

Guo, L.F.[Lin-Feng], Chutatape, O.[Opas],
Influence of discretization in image space on Hough transform,
PR(32), No. 4, April 1999, pp. 635-644.
Elsevier DOI BibRef 9904

Nixon, M.S.,
Improving an extended version of the Hough transform,
SP(19), No. 4, 1990, pp. 321-335. BibRef 9000

Strauss, O.[Olivier],
Use the Fuzzy Hough transform towards reduction of the precision/uncertainty duality,
PR(32), No. 11, November 1999, pp. 1911-1922.
Elsevier DOI BibRef 9911
Earlier:
Reducing the precision/uncertainty duality in the Hough transform,
ICIP96(II: 967-970).
IEEE DOI 9610
BibRef

Kesidis, A.L.[Anastasios L.], Papamarkos, N.[Nikos],
On the Inverse Hough Transform,
PAMI(21), No. 12, December 1999, pp. 1329-1343.
IEEE DOI 0001
Reconstruct the lines in the image from the Hough Transform. Filter out the added noise. BibRef

Kesidis, A.L., Papamarkos, N.,
On the gray-scale inverse Hough transform,
IVC(18), No. 8, 15 May 2000, pp. 607-618.
Elsevier DOI 0003
BibRef

Kesidis, A.L., Papamarkos, N.,
A Window-Based Inverse Hough Transform,
PR(33), No. 6, June 2000, pp. 1105-1117.
Elsevier DOI 0004
BibRef
And:
A Window-based Gray-scale Inverse Hough Transform Algorithm and Its Applications on Gray-scale Line Filtering,
ICIP01(III: 154-157).
IEEE DOI 0108
BibRef

Kiryati, N.[Nahum], Bruckstein, A.M.[Alfred M.],
Heteroscedastic Hough Transform (HtHT): An Efficient Method for Robust Line Fitting in the 'Errors in the Variables' Problem,
CVIU(78), No. 1, April 2000, pp. 69-83. 0004

DOI Link Robust techniques.
See also Comments on: Robust Line Fitting in a Noisy Image by the Method of Moments. BibRef

da Fontoura Costa, L.[Luciano], Wechsler, H.[Harry],
Guest Editorial: Special Issue on the Hough Transform. Has the Hough Transform Come of Age?,
RealTimeImg(6), No. 2, April 2000, pp. 77-78. 0005
BibRef

Araabi, B.N.[Babak Nadjar], Kehtarnavaz, N.[Nasser],
Hough Array Processing via Fast Multi-Scale Clustering,
RealTimeImg(6), No. 2, April 2000, pp. 129-141. 0005
BibRef

Albanesi, M.G.[Maria Grazia], Ferretti, M.[Marco], Rizzo, D.[Davide],
Benchmarking Hough Transform Architectures for Real-Time,
RealTimeImg(6), No. 2, April 2000, pp. 155-172. 0005
BibRef

Genswein, B.M.A., Yang, Y.H.,
A Fast Rule-Based Parameter Free Discrete Hough Transform,
PRAI(13), No. 5, August 1999, pp. 615. 0005
BibRef

Nakanishi, M.[Mamoru], Ogura, T.[Takeshi],
Real-Time CAM-Based Hough Transform Algorithm and Its Performance Evaluation,
MVA(12), No. 2, 2000, pp. 59-68.
Springer DOI 0010
BibRef
Earlier:
A Real-Time CAM-Based Hough Transform Algorithm and Its Performance Evaluation,
ICPR96(II: 516-521).
IEEE DOI 9608
(NTT, J)
See also Accurate and Real-time Image Processing on a New PC-compatible Board. BibRef

Kiryati, N.[Nahum], Kälviäinen, H.[Heikki], Alaoutinen, S.[Satu],
Randomized or probabilistic Hough transform: unified performance evaluation,
PRL(21), No. 13-14, December 2000, pp. 1157-1164. 0011
BibRef
Earlier: A2, A1, A3: SCIA99(Statistical Methods). BibRef

Ünsalan, C.[Cem], Erçl, A.[Aytül],
Conversions between Parametric and Implicit Forms Using Polar/Spherical Coordinate Representations,
CVIU(81), No. 1, January 2001, pp. 1-25. 0102

DOI Link BibRef

Ji, Q.A.[Qi-Ang], Haralick, R.M.[Robert M.],
Error propagation for the Hough transform,
PRL(22), No. 6-7, May 2001, pp. 813-823.
Elsevier DOI 0105
BibRef

Tong, C.S., Yeung, Y.W.,
Boundary location from range data using Hough transform,
PR(34), No. 10, October 2001, pp. 1975-1982.
Elsevier DOI 0108
BibRef

Bhattacharya, P.[Prabir], Rosenfeld, A.[Azriel], Weiss, I.[Isaac],
Point-to-line mappings as Hough transforms,
PRL(23), No. 14, December 2002, pp. 1705-1710.
Elsevier DOI 0208
BibRef
And:
Hough Transforms, Point-to-line Mappings, and Correlations,
UMD--TR4241, April 2001.
WWW Link. Analyze point to line mappings in Hough context. BibRef

Bhattacharya, P.[Prabir], Rosenfeld, A.[Azriel], Weiss, I.[Isaac],
Geometric and algebraic properties of point-to-line mappings,
PR(36), No. 2, February 2003, pp. 483-503.
Elsevier DOI 0211
BibRef

Davies, E.R.,
Truncating the Hough transform parameter space can be beneficial,
PRL(24), No. 1-3, January 2003, pp. 129-135.
Elsevier DOI 0211
BibRef
And:
A framework for designing optimal Hough transform implementations,
ICPR92(III:509-512).
IEEE DOI 9208
BibRef

Xu, L.[Lei],
A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving,
PR(40), No. 8, August 2007, pp. 2129-2153.
Elsevier DOI 0704
Object detection; Hough transform; Rival penalized competitive learning (RPCL); Elliptic RPCL; Local subspaces; Bayesian Ying-Yang learning; Automatic model selection; Multi-sets modelling; Mixture of experts; RBF nets; Evidence combination BibRef

Chung, K.L.[Kuo-Liang], Chang, T.C.[Ting-Chin], Huang, Y.H.[Yong-Huai],
Comment on: 'Extended Hough transform for linear feature detection',
PR(42), No. 7, July 2009, pp. 1612-1614.
Elsevier DOI 0903

See also Extended Hough transform for linear feature detection. BibRef

Dahyot, R.[Rozenn],
Statistical Hough Transform,
PAMI(31), No. 8, August 2009, pp. 1502-1509.
IEEE DOI 0906
BibRef
Earlier:
Bayesian classification for the Statistical Hough transform,
ICPR08(1-4).
IEEE DOI 0812
For high dimensional spaces which are not dense to reduce memory demands. BibRef

Herout, A.[Adam], Dubská, M.[Markéta], Havel, J.[Jirí],
Real-Time Detection of Lines and Grids: By PClines and Other Approaches,
Springer2013. ISBN 978-1-4471-4413-7

WWW Link. 1211
Survey, Hough. BibRef

Hollitt, C.[Christopher],
A convolution approach to the circle Hough transform for arbitrary radius,
MVA(24), No. 4, May 2013, pp. 683-694.
WWW Link. 1304
BibRef
Earlier:
Reduction of computational complexity of Hough transforms using a convolution approach,
IVCNZ09(373-378).
IEEE DOI 0911
BibRef

Mukhopadhyay, P.[Priyanka], Chaudhuri, B.B.[Bidyut B.],
A survey of Hough Transform,
PR(48), No. 3, 2015, pp. 993-1010.
Elsevier DOI 1412
Survey, Hough Transform. Hough Transform. (HT) BibRef

Aramini, R.[Riccardo], Delbary, F.[Fabrice], Beltrametti, M.C.[Mauro C.], Estatico, C.[Claudio], Piana, M.[Michele], Massone, A.M.[Anna Maria],
On the Asymptotic Equivalence Between the Radon and the Hough Transforms of Digital Images,
SIIMS(14), No. 2, 2021, pp. 506-529.
DOI Link 2107
Radon Transform. BibRef

Yang, G.[Gen], Hu, J.P.[Jun-Ping], Hou, Z.C.[Zhi-Cheng], Zhang, G.[Gong], Wang, W.J.[Wei-Jun],
A new Hough transform operated in a bounded cartesian coordinate parameter space,
IET-IPR(16), No. 8, 2022, pp. 2282-2295.
DOI Link 2205
BibRef

Lisowska, A.,
The Hough-Based Multibeamlet Transform,
VCIP20(201-204)
IEEE DOI 2102
Transforms, Image edge detection, Approximation algorithms, Image resolution, Image color analysis, PSNR, MONOS devices, multiresolution BibRef

Offen, L., Werman, M.,
Sketch Based Reduced Memory Hough Transform,
ICIP18(664-668)
IEEE DOI 1809
Transforms, Micromechanical devices, Memory management, Shape, Estimation, Computer science, Memory Saving BibRef

Liang, H.[Hui], Hou, J.H.[Jun-Hui], Yuan, J.S.[Jun-Song], Thalmann, D.[Daniel],
Random Forest with Suppressed Leaves for Hough Voting,
ACCV16(III: 264-280).
Springer DOI 1704
BibRef