Study on Image Search Engine Based on Color Feature Algorithm

Xian Ying Huang; Wei Wei Chen

doi:10.4028/www.scientific.net/AMR.267.1010

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 267Study on Image Search Engine Based on Color...

Study on Image Search Engine Based on Color Feature Algorithm

Abstract:

Considering the expansion, stability and the maneuverability of a search engine, a modular search engine based on the combination of keywords, image characteristics and content was designed. For the characteristics of image, a quantified method of color characteristics based on the maximum size of connected regions was raised. Experiments show that the method improves the retrieval efficiency and can get an expected search result more accurately, so as to satisfy the customer’s needs.

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Periodical:

Advanced Materials Research (Volume 267)

Pages:

1010-1013

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.267.1010

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Online since:

June 2011

Authors:

Xian Ying Huang, Wei Wei Chen

Keywords:

Connected Area, Feature Extraction Algorithm, Image Retrieval, Quantify, Search Engine

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References

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