Abstract. With the rapid development of e-commerce apparel, clothing online shopping is becoming an increasingly popular way of shopping. At present, text features are often used as search terms. Users need a retrieval tool to realize the clothing information search function efficiently. The content-based image retrieval technology and network shopping based on, with intention of apparel information for the user, is very practical significance. In order to further enhance the convenience when users look for clothes, an image querying and retrieval system based on color feature is designed and implemented. How quickly and accurately retrieve images from a vast image database becomes an urgent problem to be solved. This paper compares a variety of color feature extraction methods and similarity measure methods. Experiments show that Euclidean Metric and global color histogram using RGB space are relatively appropriate for clothing images search.
Wang Yatong REF designs and implements an image querying and retrieval system based on color feature for e-commerce apparel.
Retrieval of Clothing Images Based on Color Feature
Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
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