An image retrieval method based on user selected region of interest was proposed.
提出了一种基于用户选择感兴趣区域的图像检索方法。
An image retrieval method using the accumulated user's relevance feedback records is presented to improve the performance of image retrieval.
利用系统积累的反馈历史数据来改善图像检索的效果引起了越来越多的关注。
In order to solve this problem, an image retrieval method based on multiple color space was presented: the pixels in the singular regions were expressed by YUV and the others by HSV.
在此基础上，提出了基于多颜色空间的图像检索方法，奇异区域的像素点用YUV颜色空间表示，其他像素点用HSV颜色空间表示。
Color quantization is an important method of image retrieval based on color feature.
颜色量化是基于颜色特征的图像检索的一个重要方法。
The method is more flexible and accurate to describe the color feature of an image and improves the image retrieval precision.
实验结果表明，该方法实现简单，能够更加灵活、准确地描述图像的颜色特征，从而有效提高了图像检索的准确率。
The experimental results shows that the proposed method can not only capture the visual impression of an image, but also have a good performance in image retrieval.
实验结果表明，这种方法不仅能够很好地模拟图像所带给人的视觉感受，而且对具有视觉一致性的图像检索效果也有很好的表现。
The experimental results shows that the proposed method can not only capture the visual impression of an image, but also have a good performance in image retrieval.
实验结果表明，这种方法不仅能够很好地模拟图像所带给人的视觉感受，而且对具有视觉一致性的图像检索效果也有很好的表现。
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