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Application of content based image retrieval for E-commerce

机译:基于内容的图像检索在电子商务中的应用

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摘要

E-purchase is being preferred by millions of consumers over traditional shop purchases, all over the world. So in this case we just focus on CBIR system that will be able to learn user's choices in clothing and help him or her to make the best choices of clothing during e-purchase. This work will emphasize on the images matching aspect of the system only to retrieve relevant clothing as per the user's liking. Now we are applying different texture features for detecting patterns. Texture features are Contrast, Coarsness, Entropy, Energy, Correlation.
机译:在全球,数以百万计的消费者比传统的商店购买更喜欢电子购物。因此,在这种情况下,我们只关注CBIR系统,该系统将能够了解用户在服装方面的选择,并帮助他或她在电子购买过程中做出最佳的服装选择。这项工作将着重于系统的图像匹配方面,仅根据用户的喜好检索相关服装。现在我们将应用不同的纹理特征来检测图案。纹理特征是对比度,粗度,熵,能量,相关性。

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