Directed filter for dominant direction fuzzy set in content-based image retrieval

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Directed filter for dominant direction fuzzy set in content-based image retrieval

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Symposium on Applied Computing archive
Proceedings of the 2007 ACM symposium on Applied computing table of contents

Seoul, Korea

SESSION: Artificial intelligence, computational logic, and image analysis table of contents

Pages: 76 - 77

Year of Publication: 2007

ISBN:1-59593-480-4

Authors

Gang Zhang	Northeastern University, Shenyang, China
Z. M. Ma	Northeastern University, Shenyang, China
Zhiping Cai	Northeastern University, Shenyang, China

Sponsor

SIGAPP: ACM Special Interest Group on Applied Computing

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 3, Downloads (12 Months): 40, Citation Count: 1

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ABSTRACT

This paper presents a new directed filter that is performed on the dominant directions. The dominant directions are computed by the cluster algorithm and fuzzy set theory. The dominance of those dominant directions is computed and used for similarity measurement. The experiments show that the proposed filter fits for particular image domains very much.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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