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 based on user selected region of interest was proposed.
论文阐述了一种基于在线学习算法的彩色图像区域增长法，用于解决基于内容的图像检索系统。
This paper presents a color images region growing method based on online learning algorithm, which is used for content-based image retrieval systems.
本文对基于区域语义和底层视觉特征结合的相关反馈图像检索技术进行了探讨。
This paper do some research on region and vision feature based image retrieval with relative feedback.
在图像主目标区域确定的基础上，提出了基于主目标区域的图像颜色特征的综合检索方法。
With the confirm of the object region in image, a color image retrieval algorithm based on the main object region of the image is presented.
针对上述两者的缺点，文中提出了一种基于用户感兴趣区域的图像检索算法。
An image retrieval algorithm based on region-of-interest is proposed in this paper aiming at covering those two shortages.
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。
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.
最后，将两种新算法所提取特征点应用于图像检索，提出了一种新的基于区域特征的图像检索方法。
Finally, the two new salient point detectors are used for image retrieval and a new region-based image retrieval method is proposed.
该文提出一种基于目标区域的图像检索方法。
A new image retrieval method based on object region is presented in this paper.
最后，本文提出了基于区域方向信息熵的商标图像检索方法。
Lastly, this paper presents the trademark image retrieval method based on region orientation information entropy.
得到自动提取的目标区域后，将其应用于基于目标区域的图像检索。
In the end, we apply the object region extracted automatically into image retrieval based on object region.
为了降低RBIR中图像分割的影响，提出了一种基于前景和背景划分的区域图像检索方法。
In order to reduce adverse effect of image segmentation in RBIR, a new method based on partition of foreground and background is proposed.
本发明公开一种基于感兴趣区域的图像检索方法，包括：使用矩形框选定需要检索的目标所在的区域；
The invention discloses an image searching method based on a region of interest (ROI), which comprises the following steps: selecting regions of objects to be searched by using a rectangular frame;
这两种方法既能够反映全局特征，又能够兼顾所感兴趣区域的局部特征，是基于内容的图像检索的两种非常有效的方法。
At the same time those two methods can reflect global feature and regions-of-interest feature. At the same time those a…
这两种方法既能够反映全局特征，又能够兼顾所感兴趣区域的局部特征，是基于内容的图像检索的两种非常有效的方法。
At the same time those two methods can reflect global feature and regions-of-interest feature. At the same time those a…
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