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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Zhang, H., Ou, Z., Li, G. (2006). An Image Retrieval Method on Color Primitive Co-occurrence Matrix. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881223_65
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DOI: https://doi.org/10.1007/11881223_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45907-1
Online ISBN: 978-3-540-45909-5
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