An image retrieval method on color primitive co-occurrence matrix

Authors:
HengBo Zhang;ZongYing Ou;Guanhua Li
Affiliations:
Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian, P.R. China;Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian, P.R. China;Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian, P.R. China
Venue:
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Year:
2006

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Texture Features for Browsing and Retrieval of Image Data

IEEE Transactions on Pattern Analysis and Machine Intelligence

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Abstract

The paper presents and realizes a new image retrieval method based on the combination of the color connected area information with the texture features. The image is firstly divided into several parts and the color connected areas in the image is computed, then, the primitive co-occurrence matrix of the four color components corresponded with the connected area of each color is extracted. Lastly the image retrieval on the basis of the content is realized by using of the feature similar function which is designed according to these features.