Relaxation labelling algorithms-a review

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Relaxation labelling algorithms-a review

Source

Image and Vision Computing archive
Volume 3 , Issue 4 (November 1986) table of contents

Pages: 206 - 216

Year of Publication: 1986

ISSN:0262-8856

Authors

J Kittler
J Illingworth

Publisher

Butterworth-Heinemann Newton, MA, USA

Bibliometrics

Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 18

Additional Information:

cited by index terms collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	10.1016/0262-8856(85)90009-5

CITED BY 18

	Weian Deng , S. Sitharama Iyengar, A New Probabilistic Relaxation Scheme and Its Application to Edge Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.18 n.4, p.432-437, April 1996
	Paul Suetens , Pascal Fua , Andrew J. Hanson, Computational strategies for object recognition, ACM Computing Surveys (CSUR), v.24 n.1, p.5-62, March 1992
	Ohad Ben-Shahar , Steven W. Zucker, The Perceptual Organization of Texture Flow: A Contextual Inference Approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.25 n.4, p.401-417, April 2003
	M. Pelillo , M. Refice, Learning Compatibility Coefficients for Relaxation Labeling Processes, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.16 n.9, p.933-945, September 1994
	Bilge Karaçali , Wesley Snyder, Reconstructing discontinuous surfaces from a given gradient field using partial integrability, Computer Vision and Image Understanding, v.92 n.1, p.78-111, October 2003
	Fabrice Muhlenbach , Stéphane Lallich , Djamel A. Zighed, Identifying and Handling Mislabelled Instances, Journal of Intelligent Information Systems, v.22 n.1, p.89-109, January 2004
	Ohad Ben-Shahar , Steven W. Zucker, Hue geometry and horizontal connections, Neural Networks, v.17 n.5-6, p.753-771, June 2004
	Petko Faber, A Theoretical Framework for Relaxation Processes in Pattern Recognition: Application to Robust Nonparametric Contour Generalization, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.25 n.8, p.1021-1027, August 2003
	E. R. Hancock , J. Kittler, Edge-Labeling Using Dictionary-Based Relaxation, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.12 n.2, p.165-181, February 1990
	Marcello Pelillo, The Dynamics of Nonlinear Relaxation Labeling Processes, Journal of Mathematical Imaging and Vision, v.7 n.4, p.309-323, Oct. 1997
	William T. Freeman , Egon C. Pasztor , Owen T. Carmichael, Learning Low-Level Vision, International Journal of Computer Vision, v.40 n.1, p.25-47, Oct. 2000
	Joes Staal , Stiliyan N. Kalitzin , Max A. Viergever, A Trained Spin-Glass Model for Grouping of Image Primitives, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.27 n.7, p.1172-1182, July 2005
	Sanjiv Kumar , Martial Hebert, Discriminative Random Fields, International Journal of Computer Vision, v.68 n.2, p.179-201, June 2006
	Andrew J. Stoddart , Maria Petrou , Josef Kittler, On the Foundations of Probabilistic Relaxationwith Product Support, Journal of Mathematical Imaging and Vision, v.9 n.1, p.29-48, July 1998
	K. Jerosch , A. Lüdtke , M. Schlüter , G. T. Ioannidis, Automatic content-based analysis of georeferenced image data: Detection of Beggiatoa mats in seafloor video mosaics from the HÅkon Mosby Mud Volcano, Computers & Geosciences, v.33 n.2, p.202-218, February, 2007
	Ma Li , R. C. Staunton, Optimum Gabor filter design and local binary patterns for texture segmentation, Pattern Recognition Letters, v.29 n.5, p.664-672, April, 2008
	Chih-Chieh Geoff Chang , Wesley E. Snyder , Cliff Wang, Secure target localisation in sensor networks using relaxation labelling, International Journal of Sensor Networks, v.4 n.3, p.172-184, December 2008
	Pedro Meseguer , Javier Larrosa, Constraint satisfaction as global optimization, Proceedings of the 14th international joint conference on Artificial intelligence, p.579-584, August 20-25, 1995, Montreal, Quebec, Canada