摘要
基于内容的图像检索一直是一个受关注的研究热点,这里利用图像的颜色和形状特征,将基于内容的图像检索应用于电子购物领域。提出先利用不变距与傅里叶描述子相结合的方法对图像形状特征进行检索,再利用改进的颜色直方图进行二次检索的检索方法。在检索前引入图像背景消除法消除图像中背景信息的影响。最后通过实验验证了基于颜色和形状特征的服装图像检索效果以及利用图像背景去除对检索效果的影响。
Content- based multimedia information retrieval is an interesting but difficult area of research. Current approaches include the use of color, texture, and shape information. 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 influenee of background, a method of image background elimination is given prior to the image retrieval using multi - features. The experimental results demonstrate that the algorithm of image retrieval on the basis of both color and shape features is effective and the image background elimination technology has better effect on image retrieval.
出处
《现代电子技术》
2010年第6期171-175,共5页
Modern Electronics Technique
关键词
图像检索
不变距
背景去除
颜色直方图
image retrieval
invariant moment
background elimination
color histogram
