1) image adjective retrieval system
图像修饰语检索系统
2) Image Retrieval System
图像检索系统
1.
Research on Some Problems of Image Retrieval System;
图像检索系统构建中的几个问题
2.
In light of a proposed image retrieval method based on segment weighted color histogram,a color-based image retrieval system is designed by Visual Studio.
Net 2003编程实现了在网络中基于颜色的图像检索系统的设计,并对该系统的检索效果和性能进行了详细分析。
3.
This paper presented a review on image retrieval system,then pointed out the cause of semantic gap that lied in the absence of description of entity relationship.
分析了图像检索系统的研究现状,指出了出现语义鸿沟的原因在于系统中缺乏对于实体相互关系的描述,提出了一个四层的图像语义模型,并在此基础上给出了基于常识库和图像实体库的图像描述和检索模型。
3) medical image retrieval system
医学图像检索系统
1.
This paper introduces the concepts of a content-based image retrieval technology and medical image retrieval system,analyzes the present research situation of medical image retrieval system,and by using multiple aspects normalized image retrieval method and the combination of low-level features and semantic features,establishes a medical image retrieval system based on ontology.
介绍了基于内容的图像检索技术和医学图像检索系统的相关概念,分析了医学图像检索系统的研究现状,采用多特征归一化图像检索方法、低级特征和语义特征相结合的二级检索机制,构建了一个基于本体的医学图像检索系统。
4) automatic image retrieval system(AIRS)
自动图像检索系统
5) texture image retrieval system
纹理图像检索系统
1.
Referring to the low retrieval rate of basic contourlet transform,a Non-subsampled Contourlet Transform (NSCT) texture image retrieval system is proposed.
针对基本轮廓波变换纹理检索系统检索率较低的问题,提出了一种无下采样轮廓波变换(NSCT)纹理图像检索系统。
2.
Aiming at the problem of low retrieval rate of texture image retrieval system based on basic contourlet transform,a texture image retrieval system based on Contourlet-S transform is proposed.
针对基本轮廓波变换纹理图像检索系统检索率较低的问题,提出一种基于Contourlet-S变换的纹理图像检索系统。
6) semantic image retrieval
语义图像检索
1.
A semantic image retrieval system based on MPEG-7;
基于MPEG-7的语义图像检索系统的研究
2.
The solution of "semantic gap" which existence between the low-features and the high-level semantic features had become the key in problems of the semantic image retrieval.
如何跨越图像低层视觉特征到高层语义特征的"语义鸿沟"已成为语义图像检索问题的关键,首先将待分类图像分成五个区域;然后在提取图像底层特征的基础上,采用基于支持向量机组(SVMS)的方法建立图像低层视觉特征到高层语义特征之间的映射,将一幅图像同时归入一类或几类图像语义。
3.
The state of the art of semantic image retrieval is given from three aspects: schemes of image semantic description, approaches to image semantic processing, and design for image retrieval system.
语义图像检索已成为解决图像简单视觉特征和用户检索丰富语义之间存在的“语义鸿沟”问题的关键 。
补充资料：高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条