Description: 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. Platform: |
Size: 14336 |
Author:chenxi |
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Description: 图像检索_基于MPEG-7形状特征的图像检索技术研究-_ Image Retrieval Based on MPEG-7 shape features of image retrieval research Platform: |
Size: 3093504 |
Author:ff |
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Description: 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, and has a great application value in CBIR(Content-Based Image Retrieval) and IR(Image Recognition). There are many descriptors for shape feature. Fourier descriptor predigests 2-demensional image information to 1-demensional signal and be used widely. In fact, the shape of natural image is often messy and noisy. So, this paper proposes a preprocessing method which can clean the noisy shape image, and then researches and analyses the shape feature extraction with Fourier descriptor method with an experiment.
Keywords Shape, Fourier Descriptor, Feature Extraction, CBIR(Content-Based Image R
Platform: |
Size: 102400 |
Author:倪晓雷 |
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Description: matlab 基于形状的图像检索算法 关于七个不变矩的主要算法 中 主要体现出 输入输出 的步骤！ -matlab image retrieval algorithm based on the shape of seven invariant moments on the main algorithm is mainly reflected the input and output of the steps! ! ! ! ! ! ! Platform: |
Size: 15360 |
Author:边雅萌 |
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Description: matlab 基于形状的图像检索算法 关于七个不变矩的主要算法 中 主要体现出 输入输出 的步骤！ -matlab image retrieval algorithm based on the shape of seven invariant moments on the main algorithm is mainly reflected the input and output of the steps! ! ! ! ! ! ! Platform: |
Size: 7168 |
Author:边雅萌 |
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Description: 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 images should match this query.
Platform: |
Size: 4668416 |
Author:Karen Ho |
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Description: 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 retrieving techniques, including color
clustering, color texture and shape, a new retrieving method with multi-features fusion and relevance
feedback is proposed to retrieve the desired endoscopic images. Results: A prototype system is set
up to evaluate the proposed method’s performance and some evaluating parameters such as the
retrieval precision & recall, statistical average position of top 5 most similar image on various features, etc.
are therefore given. Conclusions: The algorithm with multi-features fusion and relevance feedback
gets more accurate and quicker retrieving capability than the one with single feature image retrieving
technique due to its flexible feature combination and interactive relevance feedback. Platform: |
Size: 359424 |
Author:gokul/goks |
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Description: 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 features, and on this basis to determine the image correlation. Platform: |
Size: 41984 |
Author:杜可 |
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Description: 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 image stabilization exremum area biggest content segmentation and extraction. It has the affine invariants, the neighboring territory, stability and multi-scale characteristics, but also because of regional only by grey value of decision, so the size relations is not sensitive illumination change. In images all the pixel, then through sorting for barrel separated binary tree forest-- set the extreme area all obtained images and construct component tree, finally through the biggest stable delay-independent conditions MSER area is MSER, obtain the area without rules boundary shape of its, in order to facilitate to quantification description, using covariance matrix region neat optimization, made the final output of extreme value for the oval areas regional. Platform: |
Size: 2584576 |
Author:陈利华 |
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Description: 基于颜色和形状特征的图像检索，有打开检索图片，打开库，开始检索，图片按相似度排列。-Based on color and shape characteristics of image retrieval Platform: |
Size: 2685952 |
Author:王伟 |
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Description: Based on the analysis of methods of CBIR and
chest image characteristic, in this paper, color
correlogam, dominant color of partition, gray level
co-occurrence matrix, gray-gradient co-occurrence
matrix and shape invariant moments were extracted as
retrieval feature. After comparison of their retrievals,
feature fusion and relevance feedback is proposed.
Experiments proved that the combining color, texture
with shape feature gets effective retrieval and relevance
feedback further more improves retrie Platform: |
Size: 900096 |
Author:Salkoum |
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Description: 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. These techniques are applied to get an image the image . They are not concerned with the various resolutions of the images, size and spatial color distribution. Hence all these methods are not appropriate to the art image retri . Moreover shape based retri s are useful only in the limited domain. The content and metadata based system gives images using an effective image retri technique. Many other image retri systems use global features like color, shape and texture. But the prior results say there are too many false positives while using those global features to search for similar images. Hence we give the new view of image retri system using both content and metadata -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. These techniques are applied to get an image the image . They are not concerned with the various resolutions of the images, size and spatial color distribution. Hence all these methods are not appropriate to the art image retri . Moreover shape based retri s are useful only in the limited domain. The content and metadata based system gives images using an effective image retri technique. Many other image retri systems use global features like color, shape and texture. But the prior results say there are too many false positives while using those global features to search for similar images. Hence we give the new view of image retri system using both content and metadata Platform: |
Size: 39936 |
Author:kilo |
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Search - image retrieval based on shape