| 1. | Research of content - based image retrieval technology
基于内容的图像检索技术综述 |
| 2. | Moving vehicles detection based on color edge
论述了基于内容的图像检索技术 |
| 3. | Under this circumstances , cbir come into being and develop
基于内容的图像检索技术就是在这种背景下产生和发展起来。 |
| 4. | Content - based image retrieval ( cbir ) is a technique for retrieving images on the basis of image features such as color , texture and shape , etc
基于内容的图像检索技术是指利用图像内容对图像进行查询。 |
| 5. | Now , qbic ( query by image content ) is adopted to deal with this problem . qbic is querying goal image from image database by likely features
基于内容的图像检索技术就是从代表图像本身的内容入手来检索数据库中与目标图像近似的图像。 |
| 6. | Two effective ways has been proposed to solve the problem : one is content - based image retrieval technique which search target images by low - level content feature
基于内容的图像检索技术和基于语义的图像检索技术正是解决这一问题的有效途径。 |
| 7. | Image retrieval techniques are crucial in multimedia application , a number of retrieval techniques that operate in the pixel domain have been reported in the literature
摘要图像检索技术是多媒体应用中的关键技术，现有的基于内容的图像检索技术大都是基于非压缩域的。 |
| 8. | The content - based image retrieval ( cbir ) technology can exactly meet the needs mentioned above . in this thesis , several key technologies for cbir have been investigated
基于内容的图像检索技术( cbir ， content - basedimageretrieval )是其中最基础、最重要的一个方向。 |
| 9. | Compressed image retrieval technologies integrate the image compression with content - based image retrieval to improve the efficiency and flexibility of image retrieval system
摘要压缩域图像检索将图像压缩技术与基于内容的图像检索技术融为一体，增强了图像检索系统的高效性和灵活性。 |
| 10. | Now most " content - based image retrieval " techniques rely on global attributes such as color or texture histograms , which tend to ignore the spatial composition of the image
目前的大多数基于内容的图像检索技术都依赖于图像的全局特征(例如颜色、纹理直方图等) ，如此，图像的空间布局特征被忽略了。 |
