image retrieval的例句大全

This paper is expanded around the application of visual attributes to content-based image retrieval and does the following research: First, this paper introduces the applications of image visual attributes in the various fields of image processing.

本文围绕视觉属性在图像检索中的应用进行了如下研究：（1）介绍了图像视觉属性在图像处理各个领域的应用情况，分析出属性在当前图像检索领域被广泛应用的趋势。

In this paper, support vector machines are trained for natural image classification. The resulting image class models are incorporated into image retrieval system, so that the users can search natural images by classes.

该文以自然图像领域为例，使用支持向量机（SVM）学习自然图像的类别，学习到的模型用于自然图像分类和检索.贫验结果和模拟象符合的较好。

RAH: A Texture Based Image Retrieval Algorithm Based on the Histogram of Image Power Spectral

基于图像能量谱直方图的纹理检索算法RAH

trademark image retrieval using shape features based on texture analysis

基于纹理分割的形状特征相似的商标检索技术

firstly, this paper presents the trademark image retrieval method based on distance distribution histogram.

首先，本文提出了基于距离分布直方图的商标图像检索方法。

color based logo image retrieval

基于颜色的商标图象检索

trademark image retrieval using mpeg-7 visual region-shape descriptors

MPEG-7视觉区域形状描述子的商标图像检索

experiments are performed using hu invariant moments on the trademark image retrieval based on sub image feature fusion, and the pvr value is used as the image retrieval performance evaluation criterion.

用Hu不变矩进行基于子图像特征融合的商标图像检索实验，用PVR指数作为图像检索性能评价准则。

research on sub-image feature fusion rules in trademark image retrieval

商标图像检索中子图像特征融合准则研究

distance distribution histogram and its application in trademark image retrieval

距离分布直方图及其在商标图案检索中的应用

trademark image retrieval research based on combined shape features

一种基于组合特征的商标图像检索算法研究

trademark image retrieval based on curvature and entropy-matrix feature

基于曲率和熵矩阵特征的商标图像检索

multi-feature trademark image retrieval based on integrated distance function

基于距离融合的多特征商标图像检索

An image retrieval algorithm based on HSV color segment histograms

基于HSV分块颜色直方图的图像检索算法

research on the techniques of trademark image retrieval

商标图像检索技术述评

research and system implementation on trademark image retrieval

商标图像检索研究与系统实现

the system consists of human-computer interaction, image preprocessing, feature extraction, image retrieval module.

最后，设计实现了一个综合多特征的商标图像检索原型系统，该系统包括人机交互、图像预处理、特征提取、图像检索等模块。

secondly, this paper presents the trademark image retrieval method based on normalized unit moment of inertia features.

其次，本文提出了基于归一化单元转动惯量特征的商标图像检索方法。

Considering the fact of the ill fish image, the paper researched and presented the algorithm of content based image retrieval that was according to the represent shape, color or vein in image.

结合鱼病图像的实际，本文研究并实现了用形状特征、颜色特征和纹理特征分别进行基于内容的图像检索方法。

Feature extraction is one of the elementary problems in the area of image retrieval. It is the key to the retrieval problems based not only on domain specific visual contents, general visual contents but also on semantic contents.

特征提取是图像检索研究的最基本的问题之一，无论是基于特定领域的视觉内容、基于通用视觉内容还是基于语义内容的图像检索，提取有效的鉴别特征是解决检索问题的关键。