CBIRS:基于内容的图像检索系统

“基于内容的图像检索系统”(Content Based Image Retrieval System)通常缩写为CBIRS,这一简称在计算机软件领域尤为常见。使用缩写不仅便于快速书写和交流,还能有效提高专业文档和学术讨论的效率。该系统主要利用图像本身的视觉特征进行检索,是多媒体信息处理中的一项重要技术。

Content Based Image Retrieval System具体释义

  • 英文缩写:CBIRS
  • 英语全称:Content Based Image Retrieval System
  • 中文意思:基于内容的图像检索系统
  • 中文拼音:jī yú nèi róng de tú xiàng jiǎn suǒ xì tǒng
  • 相关领域cbirs 软件

Content Based Image Retrieval System的英文发音

例句

  1. Color and shape are common features which were used in the Content Based Image Retrieval System(CBIRS).
  2. 颜色和形状都非基于外容的图像检索体解外常常当用的特征。
  3. In modern society, the development of the Content Based Image Retrieval System(CBIRS) getting faster and faster, it contains more and more images.
  4. 反在现代社会外,图像检索体解的收铺越来越快,体解外所包括的图像越来越长。
  5. In this paper, constructing object description model in content based image retrieval system is focused on.
  6. 研究了基于内容的图像检索系统(CBIRS)中的目标描述模型的建立方法。
  7. This paper introduces the Content Based Image Retrieval System(CBIRS) and its advantage, and then offers some examples.
  8. 文章介绍了基于内容的图像检索技术及其优势,并举了几个例子。
  9. Image segmentation is a basic technology of modern computer vision task. It has a direct effect on the accuracy of retrieval results in content based image retrieval system. Therefore it is one of the most important parts in image processing.
  10. 图像分割是现代计算机视觉任务的基础技术,在基于内容的图像检索系统(CBIRS)中对检索结果的准确率有直接的影响,因此是现在图像分析领域里备受关注的问题。