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Garment image retrieval based on multi-features

机译:基于多特征的服装图像检索

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摘要

In order to meet the requirements of users, a content-based image retrieval algorithm for electronic commerce has been investigated combining color features with shape features. The algorithm of image retrieval using both the invariant moment and the Fourier descriptor is proposed to retrieve the shape features of image. The secondary retrieval has been done in succession by use of modified color histogram. To avoid the influence of background, a method of image background elimination is proposed prior to the image retrieval using multi-features. Experimental results show that the algorithm is accuracy. The methods of garment image retrieval based on multi-features are promising to be useful for applications of online shopping.
机译:为了满足用户的需求,已经研究了一种结合颜色特征和形状特征的基于内容的电子商务图像检索算法。提出了使用不变矩和傅立叶描述子的图像检索算法,以检索图像的形状特征。二次检索已通过使用修改后的颜色直方图相继完成。为了避免背景的影响,提出了一种在使用多特征的图像检索之前消除图像背景的方法。实验结果表明,该算法是正确的。基于多功能的服装图像检索方法有望用于在线购物。

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