Description: 提出了一种新颖的处理图像视觉聚类问题的方法。与以往关注图像局部特征和局部连续性的方法不同，本文中的方法能够提取关于图像的全局印象。为此，我们将图像分割问题转化为图划分问题并提出了划分中的一种全局判别准则——Ncut (Normalized Cut)。Ncut不仅能够衡量不同聚类之间的相异程度，还能够衡量各聚类内部的相似程度。为求解Ncut 的最优化问题，提出了一种基于广义特征值问题的高效算法，并将此算法应用于静态图像分割，取得了良好的效果。-proposed a novel image processing visual clustering problem. Concerned with the past, image characteristics and continuity of the partial difference in the way this method can extract images on the overall impression. To this end, We will image segmentation into the map division and the division of a global criterion-- Ncut ( Normalized Cut). Ncut different not only to measure the difference between the cluster level, but also to measure the internal cluster degree of similarity. Ncut to solve the optimization problem, based on a generalized eigenvalue problem of efficient algorithms, this algorithm will be applied to the static image segmentation, and achieved good results. Platform: |
Size: 23552 |
Author:戚颖杰 |
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Description: ％ 平均绝对差分法(MAD),MAD法通过计算两幅图像相对应象素灰度的平均绝对值来度量两幅图像之间的相似性.- Average absolute difference method (MAD), MAD method by calculating the two images corresponding to the average absolute value of pixel gray-scale images to measure the similarity between. Platform: |
Size: 1024 |
Author:石渔子 |
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Description: 数字图像质量评价量：计算数字图像在基于像素统计差异、基于相似性度量统计差异、基于频谱统计差异以及基于人眼视觉系统统计差异等的图像质量评价量-Digital image quality evaluation of the volume: calculating the number of images in the pixel-based statistical difference, similarity measure based on statistical differences, based on statistical difference spectrum, as well as human visual system based on statistical differences in image quality evaluation of the volume of Platform: |
Size: 1507328 |
Author:詹双环 |
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Description: 用互信息作为两幅图像的相似性度量进行配准-Using mutual information as the two images of the similarity measure for registration Platform: |
Size: 3072 |
Author:孙艳丽 |
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Description: 这个是一个获取两个图像相似度的函数，对于图像处理和数字水印方面的编程者来说，会经常去计算两个图像的psnr值，从而来确定图像的相似度，使用matlab可以很方便的计算两个图像的psnr，但是由于matlab专业性很强，而且有没有版权保护，所以对于大批的使用VC语言的这方面的编程者，由于要经常使用而显得很麻烦。
通过调用get_psnr函数可以很方便的就得到两个图像的相似度。
-This is a similarity to obtain a function of two images for image processing and programming aspects of digital watermarking are concerned, will keep the two images to calculate the PSNR value, thereby to determine the similarity of images, the use of matlab can be easily the calculation of the two images psnr, but because matlab highly professional, and has no copyright protection, and therefore the use of a large number of VC language programming in this area, and due to frequent use, there appears to be very troublesome. Get_psnr by calling the function can be easily obtained from the two images on the similarity. Platform: |
Size: 1024 |
Author:莫雨 |
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Description: 使用sift工具可以准确确定图片的关键点,以及匹配特征点,在确定图象相似性中有很大的作用 本程序使用matlab编写 方便执行-The use of tools can sift accurate picture of the key points identified, as well as the matching feature points, in determining the similarity of images has a significant role in the preparation of the procedures used to facilitate the implementation matlab Platform: |
Size: 376832 |
Author:hpp |
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Description: 这是一个完整的指纹识别程序，用matlab语言实现了识别指纹、比较两个指纹图像相似度等功能，并设计了用户界面，使用户方便地进行图片的提取和分析，同时直观地显示出比较结果。-This is a complete fingerprint recognition procedures, matlab language used to identify fingerprints, similarity compare two fingerprint images and other functions, and design a user interface that enables users to easily extract and analyze images at the same time intuitive display comparison results. Platform: |
Size: 312320 |
Author:yato_logo |
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Description: 数字图像匹配matlab源码，就是指图像之间的比较、得到不同图像之间的相似度。基于数字图像，编写对两副数字图像进行匹配的算法及演示程序。-Digital image matching matlab source, refers to a comparison between images, the similarity between different images. Based on digital images, the preparation of two digital image matching algorithms and demonstrate the procedure. Platform: |
Size: 196608 |
Author:宁浩 |
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Description: 实现了基于mean-shift的图像检索，实现了比较两图像的相似度，选择最相近的图片-To achieve mean-shift based image retrieval, to realize the similarity of two images, the selection of the most similar image Platform: |
Size: 179200 |
Author:haiyan |
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Description: 近年来，随着互联网的高速发展，网上的多媒体信息也急剧增加，这些多媒体信息以图像为主。如何从浩瀚的图像数据库中快速、准确地找出所需要的图像，己成为一个备受关注的研究课题。有效地组织、管理和检索大规模的图像数据成为迫切需要解决的问题。于是基于内容的图像检索(Content-Based Image Retrieval: CBIR)作为一个崭新的研究领域出现了。
本课题拟研究、分析彩色图像红、绿、蓝三基色直方图的生成、特征提取和相似度等问题，应用图像的颜色信息—三基色直方图对图像进行检索。针对基于颜色的图像检索，本文采用应用广泛的RGB颜色空间来表示图像的颜色特征，对颜色分量进行等间隔量化并形成特征矢量并对特征矢量进行归一化处理，采用图像均匀分块的方法引入图像中色彩所处的位置信息，用距离度量函数进行图像的相似性匹配。在此基础上实现了基于三基色直方图算法的检索系统。
本文的研究和实践对于促进基于内容的图像数据库检索技术的应用具有一定的参考价值和实践意义。-With the rapid development of Internet, the multimedia information is booming. All this information is mostly images. Effective recognizing, management and searching all these images have been an emergent problem. This has led the rise of a new research and development field: Content-Based Image Retrieval (CBIR).
The topics to research, analysis color images red, green and blue color histogram generation, feature extraction and the similarity of the issues, application of the color image- trichromatic histogram of the image retrieval. Based on the color against the static image retrieval, this paper application of a wide range of RGB color space to indicate the color image features, the color components, such as spacing and quantitative characteristics of a feature vector and a normalization of vector processing, using uniform image block the introduction of the method in which the color image Location information, and distance measuring function similar to the image of the match. On Platform: |
Size: 408576 |
Author:qichao |
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Description: Implementation of the Self Similarity descriptor based on the paper:
Matching Local Self-Similarities across Images and Videos, Eli Shechtman and Michal Irani
CVPR 07-Implementation of the Self Similarity descriptor based on the paper:
Matching Local Self-Similarities across Images and Videos, Eli Shechtman and Michal Irani
CVPR 07 Platform: |
Size: 276480 |
Author:qinlei |
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Description: MATLAB编写的计算一幅图像投影熵，用来计较两幅图像的相似程度-MATLAB calculations prepared by an image projection entropy, is used to care about the similarity of two images Platform: |
Size: 1024 |
Author:张娟 |
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Description: we introduce the Color-based Catchment
Basin Merging Algorithm, an area-based segmentation approach
that is specifically designed to segment low-altitude
aerial images, as a preprocessing step to 3D reconstruction.
This approach extends the watershed-based Catchment
Basin Merging Algorithm, which is purely geometric,
by introducing color similarity as an additional criterion to
decide on the merging of evolving regions. Experiments performed
with real aerial images of varied nature demonstrate
that this modification eliminates over-segmentation problems
of the existing algorithm, allowing large-scale urban
scenes to be segmented in an accurate, reliable and fully automatic
way. Platform: |
Size: 777216 |
Author:bassem |
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Description: 利用matlab实现两幅图像之间的相似性度量，主要是基于颜色直方图-Between two images using matlab to achieve similarity measure is mainly based on color histogram Platform: |
Size: 338944 |
Author:wangxn |
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Description: CBIR is retrieval of images based on some query or example images. It is also called Query based image retrieval. Firstly, this report outlines a description of the primitive features of an image color and shape. These features are extracted and used as the basis for a similarity check between images. The final result is a MatLab built software application, with an image database, that utilized color and shape features of the images in the database as the basis of comparison and retrieval. Platform: |
Size: 304128 |
Author:keerthi |
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Description: 对两幅图像进行相似度计算，基于相似度计算进行模板匹配，带有测试图像，可以直接运行-Calculate the similarity of the two images, the similarity calculation based on template matching, with a test image, you can directly run Platform: |
Size: 31744 |
Author:杨秀芳 |
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Description: 图像匹配是指通过一定的匹配算法在两幅或多幅图像之间识别同名点，如二维图像匹配中通过比较目标区和搜索区中相同大小的窗口的相关系数，取搜索区中相关系数最大所对应的窗口中心点作为同名点。其实质是在基元相似性的条件下，运用匹配准则的最佳搜索问题。图像匹配主要可分为以灰度为基础的匹配和以特征为基础的匹配。-Image matching means through a certain matching algorithm identification between two or more images corresponding points, such as 2D image matching by comparing the target area and the search area in the same size of the window correlation coefficient, the correlation coefficient of the search area maximum corresponding to the same name as the center point of the window. Its essence is the similarity in primitive conditions, the use of the best search problems matching criterion. Image matching can be divided into in grayscale-based matching and feature-based matching. Platform: |
Size: 3072 |
Author:钟富强 |
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Search - similarity images matlab