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.

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Zeitschriftenaufsatz | Veröffentlicht | Englisch
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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
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Zeitschriftentitel
IEEE Transactions on Image Processing
Band
9
Zeitschriftennummer
1
Seite
156-162
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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, 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

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PMID: 15573825

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