6.1.8 Directional Masks, Gaussian Masks, Canny etc.

Chapter Contents (Back)
Edge Detection. Canny Edges. Edges, Canny.

Canny, J.[John],
A Computational Approach to Edge Detection,
PAMI(8), No. 6, November 1986, pp. 679-698. BibRef 8611
And: RCV87(184-203). BibRef
Earlier:
A Variational Approach to Edge Detection,
AAAI-83(54-58). BibRef
And:
Finding Edges and Lines in Images,
MIT AI-TR-720, June 1983.
WWW Link. Edge detection with various size oriented gaussian operators. There is a strong mathematical development of the technique. Three criteria: Good detection, Good localization, Low multiplicity. Compared in:
See also Some Defects in Finite-Difference Edge Finders. and Compared in:
See also Edge Detection and Linear Feature Extraction Using a 2-D Random Field Model. With humans in:
See also Robust Visual Method for Assessing the Relative Performance of Edge Detection Algorithms, A. Note according to one study, this is the second most cited paper (less so for recent years). BibRef

Hancock, E.R., Kittler, J.V.,
Adaptive Estimation of Hysteresis Thresholds,
CVPR91(196-201).
IEEE DOI Automatic threshold setting for Canny algorithm. BibRef 9100

Deriche, R.,
Using Canny's Criteria to Derive a Recursively Implemented Optimal Edge Detector,
IJCV(1), No. 2, 1987, pp. 167-187.
Springer DOI BibRef 8700
Earlier:
Optimal Edge Detection Using Recursive Filtering,
ICCV87(501-505). BibRef

Ikonomopoulos, A.,
An Approach to Edge Detection Based on the Direction of Edge Elements,
CGIP(19), No. 2, June 1982, pp. 179-195.
Elsevier DOI BibRef 8206

Zuniga, O.A., Haralick, R.M.[Robert M.],
Integrated Directional Derivative Gradient Operator,
SMC(17), 1987, pp. 508-517. BibRef 8700

Tewfik, A.H., Deriche, M.,
An Eigenstructure Approach to Edge Detection,
IP(2), No. 3, July 1993, pp. 353-368.
IEEE DOI BibRef 9307

Sarkar, S., Boyer, K.L.,
On Optimal Infinite Impulse Response Edge Detection Filters,
PAMI(13), No. 11, November 1991, pp. 1154-1171.
IEEE DOI BibRef 9111
And:
Optimal Infinite Impulse Response Zero Crossing Based Edge Detectors,
CVGIP(54), No. 2, September 1991, pp. 224-243.
Elsevier DOI BibRef
Earlier:
Optimal, Efficient, Recursive Edge Detection Filters,
ICPR90(I: 931-936).
IEEE DOI Code:
WWW Link. Built on the Canny technique. With humans in:
See also Comparison of Edge Detectors: A Methodology and Initial Study. BibRef

Petrou, M., Kittler, J.V.,
Optimal Edge Detectors for Ramp Edges,
PAMI(13), No. 5, May 1991, pp. 483-491.
IEEE DOI Derivation similar to Canny for ramp edges in noise. BibRef 9105

Petrou, M., Kittler, J.V.,
Robust Method of Edge Detection,
SPIE(1708), April 1992, pp. 267-281. BibRef 9204

Petrou, M.,
Separable 2-D Filters for the Detection of Ramp Edges,
VISP(142), No. 4, 1995, pp. xx. BibRef 9500

van Vliet, L.J., Verbeek, P.W.,
Edge Localization by MOG Filters: Multiple-of-Gaussians,
PRL(15), No. 5, May 1994, pp. 485-496. BibRef 9405
Earlier: A2, A1:
Line and edge detection by symmetry filters,
ICPR92(III:749-753).
IEEE DOI 9208
BibRef

Accame, M., de Natale, F.G.B.,
Edge-Detection by Point Classification of Canny Filtered Images,
SP(60), No. 1, July 1997, pp. 11-22. 9709
BibRef

Zhang, W., Bergholm, F.,
Multiscale Blur Estimation and Edge Type Classification for Scene Analysis,
IJCV(24), No. 3, October 1997, pp. 219-250.
DOI Link 9710
BibRef
Earlier: (Spelling: multi-scale): ISRN KTH/NA/P--93/30--SE, October 1993. BibRef

Zhang, W., Bergholm, F.,
An Extension of Marr's Signature Based Edge Classification and Other Methods Determining Diffuseness and Height of Edges, and Bar Edge Width,
ICCV93(183-191).
IEEE DOI BibRef 9300
Earlier:
An Extension of Marr's 'Signature' Based Edge Classification,
SCIA91(435-443). BibRef
And: ISRN KTH/NA/P--92/14--SE, May 1992. Classification of edges using edge focusing and Gaussian difference signatures.
See also Early Processing of Visual Information. BibRef

Demigny, D.[Didier], Kamle, T.[Tawfik],
A Discrete Expression of Canny's Criteria for Step Edge Detector Performances Evaluation,
PAMI(19), No. 11, November 1997, pp. 1199-1211.
IEEE DOI 9712
Canny criteria are developed for the continuous domain. Use the discrete domain. Analyze filters using the same criteria. Compares: Deriche:
See also Optimal Edge Detection Using Recursive Filtering. Shen:
See also Optimal Linear Operator for Edge Detection, An. BibRef

Demigny, D.,
Extension of Canny's discrete criteria to second derivative filters, towards a unified approach,
ICIP98(II: 520-524).
IEEE DOI 9810
BibRef

Demigny, D., Lorca, F.G., Kessal, L.,
Evaluation of edge detectors performances with a discrete expression of Canny's criteria,
ICIP95(II: 169-172).
IEEE DOI 9510
BibRef

Paplinski, A.P.,
Directional Filtering in Edge-Detection,
IP(7), No. 4, April 1998, pp. 611-615.
IEEE DOI 9804
BibRef

Toczyski, W.D., Papanikolopoulos, N.P.,
A Fast Directional Filter Set for Pyramidal Image Based Robotic Systems,
EngAAI(10), No. 6, December 1997, pp. 557-571. 9807
BibRef

Gunn, S.R.[Steve R.],
On the discrete representation of the Laplacian of Gaussian,
PR(32), No. 8, August 1999, pp. 1463-1472.
Elsevier DOI BibRef 9908
Earlier:
Edge detection error in the discrete Laplacian of Gaussian,
ICIP98(II: 515-519).
IEEE DOI 9810
BibRef

Ding, L.J.[Li-Jun], Goshtasby, A.[Ardeshir],
On the Canny edge detector,
PR(34), No. 3, March 2001, pp. 721-725.
Elsevier DOI 0101
BibRef

Singh, M.K., Ahuja, N.,
Edge Measures Using Similarity Regions,
FIU01(Chapter 9). BibRef 0100

Zhang, L.[Lei], Bao, P.[Paul],
Edge detection by scale multiplication in wavelet domain,
PRL(23), No. 14, December 2002, pp. 1771-1784.
Elsevier DOI 0208
BibRef
And:
A wavelet-based edge detection method by scale multiplication,
ICPR02(III: 501-504).
IEEE DOI 0211
BibRef

Bao, P.[Paul], Zhang, L.[Lei], Wu, X.L.[Xiao-Lin],
Canny Edge Detection Enhancement by Scale Multiplication,
PAMI(27), No. 9, September 2005, pp. 1485-1490.
IEEE DOI 0508
Product of the responses of the detector at two scales. BibRef

Zhang, Y., Rockett, P.I.,
The Bayesian Operating Point of the Canny Edge Detector,
IP(15), No. 11, November 2006, pp. 3409-3416.
IEEE DOI 0610
BibRef

Rockett, P.I.,
The Accuracy of Sub-Pixel Localisation in the Canny Edge Detector,
BMVC99(Posters/Exhibition/Demos).
PDF File. BibRef 9900

Farnebäck, G.[Gunnar], Westin, C.F.[Carl-Fredrik],
Improving Deriche-style Recursive Gaussian Filters,
JMIV(26), No. 3, December 2006, pp. 293-299.
Springer DOI 0701
BibRef

Kumar, S., Ong, S.H.[Sim Heng], Ranganath, S., Chew, F.T.,
A Luminance- and Contrast-Invariant Edge-Similarity Measure,
PAMI(28), No. 12, December 2006, pp. 2042-2048.
IEEE DOI 0611
Regularization term. Directional FIR filters with hyperbolic tangent profiles. BibRef

Laligant, O.[Olivier], Truchetet, F.[Frederic],
A Nonlinear Derivative Scheme Applied to Edge Detection,
PAMI(32), No. 2, February 2010, pp. 242-257.
IEEE DOI 1001
nonlinear combination of two polarized derivatives BibRef

McIlhagga, W.[William],
The Canny Edge Detector Revisited,
IJCV(91), No. 3, February 2011, pp. 251-261.
WWW Link. 1102
BibRef

Medina-Carnicer, R., Munoz-Salinas, R., Yeguas-Bolivar, E., Diaz-Mas, L.,
A novel method to look for the hysteresis thresholds for the Canny edge detector,
PR(44), No. 6, June 2011, pp. 1201-1211.
Elsevier DOI 1102
Canny edge detector; Hysteresis thresholds BibRef

Shui, P.L.[Peng-Lang], Zhang, W.C.[Wei-Chuan],
Noise-robust edge detector combining isotropic and anisotropic Gaussian kernels,
PR(45), No. 2, February 2012, pp. 806-820.
Elsevier DOI 1110
Anisotropic Gaussian kernels (ANGKs); Anisotropic directional derivatives; Edge detection; Edge resolution; Edge stretch effect BibRef

Wang, F.P.[Fu-Ping], Shui, P.L.[Peng-Lang],
Noise-robust color edge detector using gradient matrix and anisotropic Gaussian directional derivative matrix,
PR(52), No. 1, 2016, pp. 346-357.
Elsevier DOI 1601
Color edge detection BibRef

Nashat, S., Abdullah, A., Abdullah, M.Z.,
Unimodal thresholding for Laplacian-based Canny-Deriche filter,
PRL(33), No. 10, 15 July 2012, pp. 1269-1286.
Elsevier DOI 1205
Canny-Deriche filter; Laplacian edge detector; Thresholding; Unimodal histogram; Image segmentation; Edge sensitivity BibRef

Xu, P.F.[Peng-Fei], Miao, Q.G.[Qi-Guang], Shi, C.[Cheng], Zhang, J.Y.[Jun-Ying], Li, W.S.[Wei-Sheng],
An edge detection algorithm based on the multi-direction shear transform,
JVCIR(23), No. 5, July 2012, pp. 827-833.
Elsevier DOI 1205
Edge detection; The multi-direction shear transform; Edge fusion; The wavelet transform; The directional edges; The multi-direction edge detection; The weighted average method; Symmetric extension BibRef

Xu, P.F.[Peng-Fei], Miao, Q.G.[Qi-Guang], Shi, C.[Cheng], Zhang, J.Y.[Jun-Ying], Yang, M.,
General method for edge detection based on the shear transform,
IET-IPR(6), No. 7, 2012, pp. 839-853.
DOI Link 1211
BibRef

Xu, Q., Varadarajan, S., Chakrabarti, C., Karam, L.J.,
A Distributed Canny Edge Detector: Algorithm and FPGA Implementation,
IP(23), No. 7, July 2014, pp. 2944-2960.
IEEE DOI 1407
Computer architecture BibRef

Bastan, M.[Muhammet], Bukhari, S.S.[Syed Saqib], Breuel, T.M.[Thomas M.],
Active Canny: Edge detection and recovery with open active contour models,
IET-IPR(11), No. 12, Decmeber 2017, pp. 1325-1332.
DOI Link 1712
BibRef

Lee, J., Tang, H., Park, J.,
Energy Efficient Canny Edge Detector for Advanced Mobile Vision Applications,
CirSysVideo(28), No. 4, April 2018, pp. 1037-1046.
IEEE DOI 1804
Computational complexity, Convolution, Detectors, Histograms, Image edge detection, Smoothing methods, low-power image processing BibRef

Sangeetha, D., Deepa, P.,
FPGA implementation of cost-effective robust Canny edge detection algorithm,
RealTimeIP(16), No. 4, August 2019, pp. 957-970.
WWW Link. 1908
BibRef

Lijun, Y.[Yang], Mengbo, L.[Li], Tong-Xin, W.[Wu], Youfeng, B.[Bao], Junhui, L.[Li], Yi, J.[Jiang],
Geo-information mapping improves Canny edge detection method,
IET-IPR(17), No. 6, 2023, pp. 1893-1904.
DOI Link 2305
Canny, correlation, edge detection, geo-information mapping, object-oriented, Tobler's First Law BibRef


Gong, Y.X.[Yu-Xi], Li, X.C.[Xiang-Chun], Zhang, H.[Hao], Liu, Q.J.[Qiao-Jun], Sun, Y.T.[Yu-Ting],
An improved Canny algorithm based on adaptive 2D-Otsu and Newton Iterative,
ICIVC17(67-71)
IEEE DOI 1708
2D-Otsu, Canny operator, newton iterative, underwater, suspended, particles BibRef

Magnusson, L.V., Olsson, R.,
Improving the Canny edge detector using automatic programming: Improving the filter,
ICIVC16(36-40)
IEEE DOI 1610
automatic programming BibRef

Mwangi, G.[Gerald], Fieguth, P.W.[Paul W.], Garbe, C.S.[Christoph S.],
Probabilistic continuous edge detection using local symmetry,
ICIP15(2199-2203)
IEEE DOI 1512
BibRef

Liu, X.D.[Xiang-Dong], Yu, Y.[Yin], Liu, B.[Bing], Li, Z.[Zhen],
Bowstring-based dual-threshold computation method for adaptive Canny edge detector,
IVCNZ13(13-18)
IEEE DOI 1402
edge detection BibRef

Mokrzycki, W.[Wojciech], Samko, M.[Marek],
Canny Edge Detection Algorithm Modification,
ICCVG12(533-540).
Springer DOI 1210
BibRef

Huo, Y.K.[Yuan-Kai], Wei, G.[Gen], Zhang, Y.D.[Yu-Dong], Wu, L.N.[Le-Nan],
An adaptive threshold for the Canny Operator of edge detection,
IASP10(371-374).
IEEE DOI 1004
BibRef

Luo, T.[Tao], Zheng, X.F.[Xi-Feng], Ding, T.F.[Tie-Fu],
Self-Adaptive Threshold Canny Operator in Color Image Edge Detection,
CISP09(1-4).
IEEE DOI 0910
BibRef

Rajavel, P, Aravind, R.,
Direction Dependent Decomposition and Edge Detection,
IPTA08(1-7).
IEEE DOI 0811
BibRef

Wang, L.[Lu], You, S.[Suya], Neumann, U.[Ulrich],
Supporting range and segment-based hysteresis thresholding in edge detection,
ICIP08(609-612).
IEEE DOI 0810
BibRef

Kim, S.B.[Sung Bae], Park, R.H.[Rae-Hong],
Edge Detection Using a Complex-Valued Directional Vector Representation,
ISVC06(II: 731-740).
Springer DOI 0611
BibRef

Antón-Canalís, L.[Luis], Hernández-Tejera, M.[Mario], Sánchez-Nielsen, E.[Elena],
AddCanny: Edge Detector for Video Processing,
ACIVS06(501-512).
Springer DOI 0609
BibRef

Telea, A.C.[Alexandru C.], Preusser, T.[Tobias], Garbe, C.[Christoph], Droske, M.[Marc], Rumpf, M.[Martin],
A Variational Approach to Joint Denoising, Edge Detection and Motion Estimation,
DAGM06(525-535).
Springer DOI 0610
BibRef

Penas, M., Carreira, M.J., Penedo, M.G., Mirmehdi, M., Thomas, B.T.,
Comparative Frameworks for Directional Primitive Extraction,
ICIAR04(I: 212-219).
Springer DOI 0409
BibRef

Liu, G.[Gang], Haralick, R.M.[Robert M.],
Two Practical Issues in Canny's Edge Detector Implementation,
ICPR00(Vol III: 676-678).
IEEE DOI 0009
BibRef

Kim, K.C.[Keun-Chung], Kim, D.Y.[Doo-Young], Aggarwal, J.,
Feature Extraction of Edge by Directional Computation of Gray-Scale Variation,
ICPR98(Vol II: 1022-1027).
IEEE DOI 9808
BibRef

Deruyver, A., Hode, Y.,
A morphological model for automatic edge detection: Comparison with ad-hoc Hysteresis Thresholding,
ICIP98(II: 530-534).
IEEE DOI 9810
BibRef

Boie, R.A., Cox, I.J.,
Two Dimensional Optimal Edge Recognition Using Matched and Weiner Filters for Machine Vision,
ICCV87(450-456). Compared in:
See also Some Defects in Finite-Difference Edge Finders. BibRef 8700

Boie, R.A., Cox, I.J., Rehak, P.,
On Optimum Edge Recognition Using Matched Filters,
CVPR86(100-108). BibRef 8600

Chapter on Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform continues in
Facet Model for Edge Detection .


Last update:Mar 16, 2024 at 20:36:19