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这是我本科的毕业设计做的关于医学图像的基于形状的图像检索。预处理用小波去噪 ,特征选用不变矩。-This is my undergraduate graduation design done on the medical images based on the shape of the image retrieval. Pretreatment with wavelet denoising, feature selection invariant moment.
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本源码是用C++编写的基于内容的图像检索,采用形状、颜色、纹理三个特征的加权值作为特征向量。-The source code is written in c++ of content-based image retrieval, the shape, color, texture three characteristics of the weighted value as the characteristic vector.
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图像检索中基于形状的图像检索技术研究 非常 有用 -Shape-based image retrieval in image retrieval research is very useful
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状是含有高层语义信息的视觉特征,在基于内容的图像检索及图像识别中具有重要的应用价值。有很多种描述子可以描述图像的形状特征,傅立叶描述子可以把二维的图像轮廓信息简化成一维问题进行处理,应用非常广泛。然而自然图像的形状特征通常是杂乱的,有噪声的,提出了一种图像预处理方法,得到净化的形状图像,通过实验研究傅立叶描述子算法提取形状特征的效果。-Abstract Shape is a visual feature which contains intrinsic high-level semantics
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基于形状特征的光学图像检索方法研究.kdh-Shape feature based image retrieval method of optical. Kdh
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该论文具有内容图像检索功能,根据颜色,形状,纹理以达到搜索的目的。熟练应用c++语言编译代码。-The paper has content image retrieval function, according to color, shape and texture to achieve the purpose of search. Proficient in code c++ compiler.
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基于形状特征的图像检索算法 的中期 英文相关论文的翻译!! 这个对同学们都很有用 相关的都可以来下载-Shape-based image retrieval algorithm related to the mid-term papers in English translation! ! This is very helpful on the students since the downloads can be related! ! !
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本程序用于对基本形状的识别,这是基于形状图象检索的基础。-This procedure is used to identify the basic shape, which is the basis for shape-based image retrieval.
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1.分析研究了基于内容的图像检索系统的工作原理,关键技术如:纹
理、形状等图像底层特征的描述方法, 图像间的相似性度量方法,
图像库索引机制等。
2.研究了基于纹理特征的图像检索方法,并提出了一种基于NSCT 变
换的纹理特征提取方法。通过对SAR 图像及相关图像进行NSCT
分解,计算不同尺度不同方向上的系数幅度序列的均值,标准方差
和三阶中心矩,以此构成特征向量来描述图像的纹理。实验证明本
文提出的采用NSCT 算法有较好的特征提取效果,引入三阶中心矩
作为特
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Image Retrieval C++.
A prototype system that allows the user to perform image matching based on at least one of the following visual attributes: -
(a) Shape
(b) Color
Assumed that the given query is a sample image where the retrieved im
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介绍了一个基于特征的图象查询和检索系统.该系统由查询模块、特征提取和描述模块、匹配模块、图象显示模块和图象库管理模块组成.系统既支持基于颜色、纹理、形状的单一特征查询,也支持结合不同特征的更符合视觉要求的综合特征查询.该系统已结合实际图象库进行了查询和检索实验,文中给出一些实际检索结果.
-Describes a feature-based image query and retrieval system. The system consists of query module, featu
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Content-based medical image retrieval is now getting more and more attention in the
world, a feasible and efficient retrieving algorithm for clinical endoscopic images is urgently
required. Methods: Based on the study of single feature image retr
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一个Java实现的基于内容的图像检索工具包,可用来提取图像的颜色特征、纹理特征(Gabor Filter)以及形状特征,并在此基础上判断图像相关性。-Java implementation of a content-based image retrieval toolkit, which can be used to extract the image' s color features, texture features (Gabor Filter), and shape feature
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基于内容的图像检索,包括纹理、形状、颜色-Content-based image retrieval, including texture, shape, color
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基于内容的图像检索技术的关键在于特征提取,是利用图像的颜色、形状、纹理、轮廓、对象的空间关系等客观独立的存在于图像中的基本视觉特征作为图像的索引,计算查询图像和目标图像的相似距离,按相似度匹配进行检索。综合国内外研究现状,可将基于内容的图像检索技术分为如下几种类型:基于颜色特征的检索、基于纹理特征的检索、基于形状及区域的检索、基于空间约束关系的检索。-Based on comparing various affine invariant regional basis, selection of
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基于颜色直方图和形状不变矩相结合的图像检索-Based on color histogram and shape invariant moments combined image retrieval
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首先通过提取图像的形状信息作为其特征向量,然后,实现了一款以图像形状信息作为检索依据的图像检索软件-image retrieval based based on shape feature
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基于颜色和形状的图像检索,主要有图像提取技术和相似度计算技术。-image retri based on color and shape
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Image retri techniques are useful in many image-processing applications. Content-based image retri systems work with whole images and searching is based on comparison of the query. General techniques for image retri are color, texture and shape. Thes
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基于内容的图像检索,能搜索相似图像。基于颜色,形状和纹理的图像检索。(Content based image retrieval can search similar images. Image retrieval based on color, shape and texture.)
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