提出了一种基于交互式遗传算法的图像检索模型。
研究了基于内容的图像检索系统中的目标描述模型的建立方法。
In this paper, constructing object description model in content based image retrieval system is focused on.
首先叙述了基于内容的图像检索的系统模型和特点，接着针对颜色、纹理和形状进行了概率特征提取、相似度量等的进一步具体分析讨论。
It presents the model and feature of content-based image retrieval system, and then discusses some methods of feature abstraction and similarity measurement based on color, texture and shape.
针对离散小波变换具有平移变化性和弱方向性的特性，本文提出了一种基于双树复小波变换(DT- CWT)统计模型的医学图像纹理检索方法。
Presents a novel texture retrieval approach of medical images based on statistic model by Dual-Tree Complex Wavelet Trans - form (DT-CWT) for the shift sensitivity and poor directionality of DWT.
针对复杂对象的图像检索，提出一种基于逻辑运算的概率模型。
A logical operation-based probability model for image retrieval was presented.
最后，本文根据提出的多层个性化情感模型建立一个了一个验证性的图像检索系统，该系统在测试中取得了不错的检索效果。
Finally, in accordance with the multi-layer individual affective model, this paper establishes an image retrieval system, which has made good search results in testing.
实验结果显示本文提出的分类框架是可行的，并且在基于图像的模型检索应用中有很好的前景。
Experimental results show that the proposed framework is feasible and has potential in the application of image-based modeling retrieval.
本文从颜色分析、图像分割、数据库模型的构建、检索策略等方面对这一课题进行了系统的研究。
The main contents of this paper include color analysis, image segmentation, image database construction and image retrieval and so on.
该文通过对传统图像库检索系统的改进，提出一个高效的图像库检索模型。
This paper presents an efficient retrieval model in pictorial databases by improving the traditional pictorial databases retrieving system.
为了把用户模型嵌入到图像检索系统中，基于内容的图像检索领域引入了相关反馈机制。
Relevence feedback is used for CBIR in order to embed user model into image search.
该系统利用了一个多级图像描述模型将语义特征结合到图像检索技术中。
In this paper, a novel system for content-based image retrieval is designed and created, which combines image semantics based on a multi-level model for image description.
由于图像的低层视觉特征与高层概念的相关性较弱，且图像检索系统用户的主观性强，因此把用户模型嵌入到系统中，通过用户反馈来获得用户的检索意图是十分必要的。
Because of the weak correlation low level features and high level conception of images and different subjective perception of the system users, relevance feedback has been introduced to CBIR.
利用视觉注意力模型进行图像检索是一个新的研究方向。
Image retrieval using visual attention model is a new research direction.
利用视觉注意力模型进行图像检索是一个新的研究方向。
Image retrieval using visual attention model is a new research direction.
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