Self-organization in vision: stochastic clustering for image segmentation, perceptual grouping, and image database organization

Weinshall, D.; Werman, M; Gdalyahu, Y.

doi:10.1109/34.954598

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Self-organization in vision: stochastic clustering for image segmentation, perceptual grouping, and image database organization

Author(s): Y. Gdalyahu , D. Weinshall , M. Werman

Publication date (Print): Oct. 2001

Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

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A review on image segmentation techniques

Nikhil Pal, Sankar Pal (1993)

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An optimal graph theoretic approach to data clustering: theory and its application to image segmentation

Z. Wu, R. Leahy (1993)

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Segmentation using eigenvectors: a unifying view

Y Weiss (1999)

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Title: IEEE Transactions on Pattern Analysis and Machine Intelligence

Abbreviated Title: IEEE Trans. Pattern Anal. Machine Intell.

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

ISSN (Print): 01628828

Publication date (Print): Oct. 2001

Volume: 23

Issue: 10

Pages: 1053-1074

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DOI: 10.1109/34.954598

SO-VID: 5b8f14b1-d36b-4a50-a3de-731770a0cf5e

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Self-organization in vision: stochastic clustering for image segmentation, perceptual grouping, and image database organization

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Most cited references 25

A review on image segmentation techniques

An optimal graph theoretic approach to data clustering: theory and its application to image segmentation

Segmentation using eigenvectors: a unifying view

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