Image segmentation and uncertainty

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Image segmentation and uncertainty

Source

Research Studies Press Pattern Recognition And Image Processing Series archive

Pages: 180

Year of Publication: 1988

ISBN:0-86380-067-X

Authors

Roland Wilson	Univ. of Warwick, UK
Michael Spann	Swiss Federal Institute of Technology, Lausanne, Switzerland

Bibliometrics

Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 7

Additional Information:

cited by index terms review collaborative colleagues

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

CITED BY 7

	J. Smith , S.-F. Chang, Quad-tree segmentation for texture-based image query, Proceedings of the second ACM international conference on Multimedia, p.279-286, October 15-20, 1994, San Francisco, California, United States
	C.-T. Li, Multiresolution image segmentation integrating Gibbs sampler and region merging algorithm, Signal Processing, v.83 n.1, p.67-78, January 2003
	Hong Mei Zhang , Zheng Zhong Bian , Ze Jian Yuan , Min Ye , Feng Ji, A novel multiresolution fuzzy segmentation method on MR image, Journal of Computer Science and Technology, v.18 n.5, p.659-666, September 2003
	A. Laine , J. Fan, Texture Classification by Wavelet Packet Signatures, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.15 n.11, p.1186-1191, November 1993
	Roland Wilson , Chang-Tsun Li, A Class of Discrete Multiresolution Random Fields and Its Application to Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.25 n.1, p.42-56, January 2003
	Maria Petrou , Josef Kittler, Optimal Edge Detectors for Ramp Edges, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.13 n.5, p.483-491, May 1991
	J. R. Parker, Gray Level Thresholding in Badly Illuminated Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.13 n.8, p.813-819, August 1991

INDEX TERMS

Primary Classification:
I. Computing Methodologies
I.4 IMAGE PROCESSING AND COMPUTER VISION

Additional Classification:
I. Computing Methodologies
I.2 ARTIFICIAL INTELLIGENCE
I.2.3 Deduction and Theorem Proving
Subjects: Uncertainty, "fuzzy," and probabilistic reasoning

General Terms:
Algorithms, Design, Theory

REVIEW

"Vladik Ya. Kreinovich : Reviewer"

A new and interesting approach to image segmentation is proposed; it is both mathematically motivated and efficient. The main idea is applying symmetries. The book consists of six chapters: (1)< more...

Collaborative Colleagues:

Roland Wilson: colleagues

Michael Spann: colleagues

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