Abstract
The color feature is demonstrated by the algorithm of the improved histogram. The texture feature is extracted by Gabor filters. On the basis of above contents, the article studies a method for image retrieval using combined color feature and texture feature. Then by studying the theory of support vector machines, the algorithm of the SVM relevance feedback is introduced. The results of experiments show that combined feature extraction and relevance feedback algorithm has better retrieval performance and the results can be obtained to better meet the need of users.
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Zhang, SJ. (2011). The Research on Image Retrieval Based on Combined Multi-Features and Relevance Feedback. In: Deng, H., Miao, D., Wang, F.L., Lei, J. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2011. Communications in Computer and Information Science, vol 237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24282-3_71
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DOI: https://doi.org/10.1007/978-3-642-24282-3_71
Publisher Name: Springer, Berlin, Heidelberg
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