SEDMI: Saliency based edge detection in multispectral images

Image and Vision Computing

Volumn 29, Issue 8, 2011, Pages 546-556

  Dinh, Cuong V ^a,c   Leitner, Raimund ^c   Paclik, Pavel ^b   Loog, Marco ^a   Duin, Robert P W ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b PR Sys Design   (Netherlands)

^c CTR CARINTHIAN TECH RESEARCH AG   (Austria)

Author keywords

Edge detection; Ensemble clustering; Multispectral image analysis; Saliency

Indexed keywords

CLUTTER (INFORMATION THEORY); PIXELS;

BACKGROUND CLUTTER; CONFIDENCE VALUES; DETECTING OBJECTS; ENSEMBLE CLUSTERING; FEATURE SPACE; ISOLATED CLUSTER; MULTI-SPECTRAL DATA; MULTI-SPECTRAL IMAGE ANALYSIS; MULTISPECTRAL IMAGES; RARE EVENT; SALIENCY; SPATIAL GRADIENTS; SPECTRAL BAND; SPECTRAL CHANNELS;

EDGE DETECTION;

EID: 80051671312     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2011.06.002     Document Type: Article

References (40)

1. A. Koschan, and M. Abidi Detection and classification of edges in color images Signal Processing Magazine, Special Issue on Color Image Processing 22 2005 64 73 (Pubitemid 40319548)
2. G. Robinson Color edge detection Optical Engineering 16 1977 479 484
3. M. Hedley, and H. Yan Segmentation of color images using spatial and color space information Journal of Electronic Imaging 1 1992 374 380
4. S.D. Zenzo A note on the gradient of a multi-image Computer Vision, Graphics, and Image Processing 33 1986 116 125
5. P. Trahanias, and A. Venetsanopoulos Color edge detection using vector order statistics IEEE Transactions on Image Processing 2 1993 259 264 (Pubitemid 23692864)
6. A.N. Evans, and X.U. Liu A morphological gradient approach to color edge detection IEEE Transactions on Image Processing 15 6 2006 1454 1463 (Pubitemid 43778924)
7. T. Kanade, and S. Shafer Image understanding research at CMU Proceedings of Image Understanding Workshop 1987 32 40
8. J. Fan, D.K.Y. Yau, A.K. Elmagarmid, and W.G. Aref Automatic image segmentation by integrating color-edge extraction and seeded region growing IEEE Transactions on Image Processing 10 2001 1454 1466 (Pubitemid 32981820)
9. T. Carron, and P. Lambert Color edge detector using jointly hue, saturation and intensity IEEE International Conference Image Processing volume 3 1994 977 981
10. A. Cumani Edge detection in multispectral images Graphical Models and Image Processing 53 1 1991 40 51
11. M. Chapron, and C. Ensea-Etis A color edge detector based on statistical rupture tests IEEE International Conference Image Processing volume 2 2000
12. P.J. Toivanen, J. Ansamäki, J.P.S. Parkkinen, and J. Mielikäinen Edge detection in multispectral images using the self-organizing map Pattern Recognition Letters 24 16 2003 2987 2994 (Pubitemid 37293328)
13. R.M. Haralick, S.R. Sternberg, and X. Zhuang Image analysis using mathematical morphology IEEE Transactions on Pattern Analysis and Machine Intelligence 9 4 1987 532 550 (Pubitemid 17632080)
14. P. Rosin Edges: saliency measures and automatic thresholding Geoscience and Remote Sensing Symposium, 1995. IGARSS'95.'Quantitative Remote Sensing for Science and Applications', International. Volume 1 1995 93 95 vol. 1
15. G. Papari, and N. Petkov Adaptive pseudo dilation for gestalt edge grouping and contour detection IEEE Transactions on Image Processing 17 10 2008 1950 1962
16. A. Rosenfeld, R.A. Hummel, and S.W. Zucker Scene labeling by relaxation operations IEEE Transactions on Systems, Man and Cybernetics 6 6 1976 420 433
17. A. Sha'asua, and S. Ullman Structural saliency: the detection of globally salient structures using a locally connected network Computer Vision., Second International Conference on December 1988 321 327
18. D. Marr, and E. Hildreth Theory of edge detection Proceedings of Royal Society of London 1980 187 217 (Pubitemid 10103608)
19. T. Lindeberg Edge detection and ridge detection with automatic scale selection Journal of Computer Vision 30 November 1998 117 156
20. J. van de Weijer, T. Gevers, and A. Bagdanov Boosting color saliency in image feature detection IEEE Transactions on Pattern Analysis and Machine Intelligence 28 1 2006 150 156 (Pubitemid 46395313)
21. M. Loog, and F. Lauze The improbability of Harris interest points IEEE Transactions on Pattern Analysis and Machine Intelligence 32 2010 1141 1147
22. Piater, J.H.: Visual feature learning. PhD thesis, Department of Computer Science, UMASS Amherst (2001).
23. K.N. Walker, T.F. Cootes, and C.J. Taylor Locating salient object features Proceedings of the British Machine Vision Conference 1998 557 566
24. D. Lisin, E. Riseman, and A. Hanson Extracting salient image features for reliable matching using outlier detection techniques Proceedings of the third international conference on Computer vision systems. Volume 2626 2003 481 491 (Pubitemid 36572109)
25. E. Eskin, A. Arnold, M. Prerau, L. Portnoy, and S. Stolfo A geometric framework for unsupervised anomaly detection Applications of Data Mining in Computer Security 2002 Kluwer Academic Publisher
26. Z. He, X. Xu, and S. Deng Discovering cluster-based local outliers Pattern Recognition Letters 24 9-10 2003 1641 1650
27. A.L.N. Fred, and A.K. Jain Combining multiple clusterings using evidence accumulation IEEE Transactions on Pattern Analysis and Machine Intelligence 27 6 2005 835 850 (Pubitemid 40889836)
28. A. Strehl, and J. Ghosh Cluster ensembles-a knowledge reuse framework for combining multiple partitions Journal of Machine Learning Research 3 2003 583 617
29. J. Canny A computational approach to edge detection IEEE Transactions on Pattern Analysis and Machine Intelligence 1986 679 698
30. R.P.W. Duin, P. Juszczak, D.D. Ridder, P. Paclik, E. Pekalska, and D.M.J. Tax PRTools: A Matlab Toolbox for Pattern Recognition http://www.prtools.org/
31. V. Barnett The ordering of multivariate data Journal of the Royal Statistical Society 139 1976 318 355
32. K. Bowyer, C. Kranenburg, and S. Dougherty Edge detector evaluation using empirical roc curves Computer Vision and Image Understanding 84 1 2001 77 103 (Pubitemid 34228382)
33. S. Konishi, A.L. Yuille, J.M. Coughlan, and S.C. Zhu Statistical edge detection: learning and evaluating edge cues IEEE Transactions on Pattern Analysis and Machine Intelligence 25 1 2003 57 74
34. D. Green, and J. Swets Signal Detection Theory and Psycho-physics 1988 Peninsula Publishing
35. J.S. Lim Two Dimensional Signal and Image Processing 1990 Addison-Wesley
36. W.J. Krzanowski, and D.J. Hand ROC Curves for Continuous Data 2009 Chapman & Hall/CRC
37. P. Paclik, R.P.W. Duin, G.M.P. van Kempen, and R. Kohlus Segmentation of multi-spectral images using the combined classifier approach Journal of Image and Vision Computing 21 6 2005 473 482
38. S.M.C. Nascimento, F.P. Ferreira, and D.H. Foster Statistics of spatial cone-excitation ratios in natural scenes Journal of the Optical Society of America A 19 8 2002 1484 1490
39. D.H. Foster The Hyperspectral Images of Natural Scenes Dataset http://personalpages.manchester.ac.uk/staff/david.foster/ 2002
40. A.W. Moore Efficient memory-based learning for robot control Technical Report UCAM-CL-TR-209 1990 University of Cambridge, Computer Laboratory