20Clustered Domain Colors and Bag of Words Algorithm Based Image Retrieval

Abstract:

Bag of words algorithm is an efficient object recognition algorithm based on semantic features extraction and expression. It learns the virtues of the text-based search algorithm to make images a range of visual words, extract the semantic characters and carry out the detection and recognition of interesting objects. Bag of words algorithm is extracted from gray images and discard s color information of images. We propose in this paper a method of image retrieval based on clustered domain colors and bag of words algorithm. The results of experiments show that this method can improve the precision of retrieval efficiently.

• Periodical: Applied Mechanics and Materials (Volumes 321-324)
• Pages: 956-960
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.321-324.956
• Online since: June 2013
• Authors: Lei Tang, Chang Sheng Zhou, Liang Zhang
• Keywords: Bag of Words Algorithm, Clustered Domain Colors, Features Normalization, Image Retrieval

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