Hierachical Color Image Region Segmentation for Content-Based Image Retrieval System

Fuh CS, Cho SW, Essig K (2000)
IEEE Transactions on Image Processing 9(1): 156-162.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Fuh, C. S.; Cho, S. W.; Essig, KaiUniBi
Abstract / Bemerkung
In this work, we propose a model of a content-based image retrieval system by using the new idea of combining a color segmentation with relationship trees and a corresponding tree-matching method. We retain the hierarchical relationship of the regions in an image during segmentation. Using the information of the relationships and features of the regions, we can represent the desired objects in images more accurately. In retrieval, we compare not only region features but also region relationships
Erscheinungsjahr
2000
Zeitschriftentitel
IEEE Transactions on Image Processing
Band
9
Ausgabe
1
Seite(n)
156-162
ISSN
1057-7149
Page URI
https://pub.uni-bielefeld.de/record/2714733

Zitieren

Fuh CS, Cho SW, Essig K. Hierachical Color Image Region Segmentation for Content-Based Image Retrieval System. IEEE Transactions on Image Processing. 2000;9(1):156-162.
Fuh, C. S., Cho, S. W., & Essig, K. (2000). Hierachical Color Image Region Segmentation for Content-Based Image Retrieval System. IEEE Transactions on Image Processing, 9(1), 156-162. doi:10.1109/83.817608
Fuh, C. S., Cho, S. W., and Essig, Kai. 2000. “Hierachical Color Image Region Segmentation for Content-Based Image Retrieval System”. IEEE Transactions on Image Processing 9 (1): 156-162.
Fuh, C. S., Cho, S. W., and Essig, K. (2000). Hierachical Color Image Region Segmentation for Content-Based Image Retrieval System. IEEE Transactions on Image Processing 9, 156-162.
Fuh, C.S., Cho, S.W., & Essig, K., 2000. Hierachical Color Image Region Segmentation for Content-Based Image Retrieval System. IEEE Transactions on Image Processing, 9(1), p 156-162.
C.S. Fuh, S.W. Cho, and K. Essig, “Hierachical Color Image Region Segmentation for Content-Based Image Retrieval System”, IEEE Transactions on Image Processing, vol. 9, 2000, pp. 156-162.
Fuh, C.S., Cho, S.W., Essig, K.: Hierachical Color Image Region Segmentation for Content-Based Image Retrieval System. IEEE Transactions on Image Processing. 9, 156-162 (2000).
Fuh, C. S., Cho, S. W., and Essig, Kai. “Hierachical Color Image Region Segmentation for Content-Based Image Retrieval System”. IEEE Transactions on Image Processing 9.1 (2000): 156-162.

3 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

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11 References

Daten bereitgestellt von Europe PubMed Central.

Computing illumination-invariant descriptors of spatially filtered color image regions.
Healey G, Slater D., IEEE Trans Image Process 6(7), 1997
PMID: 18282990

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

haralick, Computer and Robot Vision i ii(), 1992

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
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