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[Other resourceintelligent-measure

Description: 智能检测处理课件包括了图像处理,结合过程控制的一个实例,以及智能会议的召开-intelligent detection processing courseware include image processing, process control with a case, and the convening of Intelligent
Platform: | Size: 139323 | Author: 赵新 | Hits:

[Graph program相关系数编程实习

Description: 图像的相关系数是衡量两幅图像的相关程度的,本代码直接通过选定区域计算出相关系数!-image correlation coefficient is a measure of two images of the code directly through selected regional correlation coefficient calculated!
Platform: | Size: 30720 | Author: 宫华泽 | Hits:

[Graph Recognizeifcvec_release

Description: 一个不错的图像质量评价测度实现,用于泛型图像质量评价,需要参照图像。内有相关文献名称。-a good measure to evaluate image quality achieved for the Generic Image quality evaluation, needs light images. Have names related literature.
Platform: | Size: 6144 | Author: 刘明娜 | Hits:

[Special Effectstianjia

Description: 如何在图像中加入某一固定snr的噪声?分类:matlab与图像处理 在利用matlab做一些自己算法的抗噪分析中,常常会遇到这个问题,matlab中的加噪函数是imnoise,里面的参数是噪声的均值,方差(高斯噪声)或者是感染概率(椒盐噪声),参数不能是snr值,但是很多国外的文章的噪声分析中都是用snr值来衡量加入噪声的程度的-how the image to a fixed snr noise? Categories : Matlab and image processing using Matlab to do some of his own anti-noise algorithm analysis, will often encounter this problem, which Matlab the noise function is imnoise. inside the parameters of the noise mean and variance (Gaussian noise) or the probability of infection (Impulse Noise) Parameter values can not be snr, But many foreign article noise analysis is used to measure the value snr joined the extent of noise
Platform: | Size: 2048 | Author: 顶替 | Hits:

[Special Effectserzhitufenge

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 | Hits:

[Otherintelligent-measure

Description: 智能检测处理课件包括了图像处理,结合过程控制的一个实例,以及智能会议的召开-intelligent detection processing courseware include image processing, process control with a case, and the convening of Intelligent
Platform: | Size: 139264 | Author: 赵新 | Hits:

[Special Effectsimageica-matlab.tar

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 | Hits:

[Otherspline-basedImageRegistration

Description: The problem of image registration subsumes a number of problems and techniques in multiframe image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature tracking. We present a new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the above mentioned problems. In particular, we show how to compute local flow, global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of the above problems. Using a spline-based description of the flow removes the need for overlapping correlation windows, and produces an explicit measure of the correlation between adjacent flow estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D projective scene geometry. We also provide results on a number of standard motion sequences.
Platform: | Size: 486400 | Author: 刘长乐 | Hits:

[Special EffectsIMGReg

Description: 此代码是关于图像配准的,包含了常见的图像配准技术,如插值、相似性测度等!-This code is about the image registration, and includes a common image registration techniques, such as interpolation, similarity measure, such as!
Platform: | Size: 103424 | Author: zhanghf | Hits:

[Special EffectsImageSearch

Description: 基于内容的图像检索示例代码,给定一幅原图像,在图像数据库中根据与原图像之间相似度的大小,搜索与原图像最接近的若干幅图像。本程序相似度主要以两幅图像之间直方图的距离为衡量标准,对此内容感兴趣的同学可以在此基础上加入更多的相似度判别算法。-Content-Based Image Retrieval sample code, given a piece of the original image, the image database in accordance with the similarity between the original image size, image search and the original number of the nearest images. This procedure mainly on the similarity between two images, the distance histogram for the measure, this content of interest to students on the basis of similarity to include more discriminant algorithm.
Platform: | Size: 43008 | Author: 张柳新 | Hits:

[Graph Recognizemeasure

Description: 一种基于视频图像的道路检测方法,含有检测与跟踪算法,里有源代码 -A video image-based road detection methods, contain detection and tracking algorithm, in source code
Platform: | Size: 237568 | Author: 桂祖恒 | Hits:

[Delphi VCLDelphi

Description: 针对目前的基于特征的图像检索中没有有效地结合图像中对象空间信息的问题,提 出了一种新的融合了颜色、空间和纹理特征的图像特征提取及匹配方法。为了减少时间 间复杂度,首先通过基于普通颜色直方图的检索得到初始图像集合,然后根据提出的结合空间、纹理特征加权度量对初始图像集合再进行检索,从而得到最后更符合要求的相似图象-View of the current feature-based image retrieval is not effective integration of image information of objects in space, we propose a new blend of colors, space and texture features of image feature extraction and matching method. Time interval in order to reduce complexity, first of all, the general color histogram-based retrieval has been the initial image set, and then on the basis of the combination of space, texture characteristics of the weighted measure of the initial image and then search the collection, thus more in line with the requirements of the final similarity Image
Platform: | Size: 9111552 | Author: 丁丁 | Hits:

[AI-NN-PRsource-svm

Description: 使用支持向量机(svm)方法进行图像的单视度量(single view metrology)的vc++(需要用到wxwindows2.4.2)和matlab源代码.-The use of support vector machine (svm) method as the measure of a single image (single view metrology) of vc++ (Needed wxwindows2.4.2) and matlab source code.
Platform: | Size: 19456 | Author: 余晖 | Hits:

[Special Effectssegmentation

Description: 介绍了视觉颜色空间及其在交互式图像分割中的作用, 实验分析了它的奇异性, 在此基础上, 考虑像素的 空间和色彩分布, 提出了基于区域生长法的多颜色空间、 多度量准则的聚类算法和零碎区域的合并算法, 颜色空间选取HSL 和RGB 两种, 相似性度量包括了种子点、 扩张点和生长区域三个方面, 并用于敦煌壁画图像的分割.-Introduce the visual color space and its application in interactive image segmentation of the role, experimental analysis of its singularity, on this basis, taking into pixel space and color distribution, based on region growing multi-color space, multi-metric criteria clustering algorithm and fragmented region merging algorithm, select the HSL color space and RGB are two similarity measure, including the seed point, the expansion point and the three aspects of regional growth, and for image segmentation in Dunhuang murals.
Platform: | Size: 348160 | Author: singro jiang | Hits:

[Special EffectsObject_Removal_by_Exemplar-Based_Inpainting

Description: 基于样例的图像修补方法,可以用于移除较大的目标,修复较大的区域。VC++环境,Qiushuang Zhang设计,参见A.Criminisi等人的论文:Object Removal by Exemplar-Based Inpainting.-Based on the sample image repair method can be used to remove larger goal, to repair the larger region. VC++ Environment, Qiushuang Zhang design, see A. Criminisi papers and others: Object Removal by Exemplar-Based Inpainting.
Platform: | Size: 2491392 | Author: PanHao | Hits:

[Industry research123

Description: 一种基于方向信息的鲁棒型Hausdorff距离匹配方法。该方法采用方向信息提取图 像边缘,通过计算边缘匹配率( edge matching rate, EMR)获得候选匹配区域,然后采用修正后的Hausdorff距离构造 相似性测度。实验结果表明,该方法加快了匹配过程,提高了抗噪性能,并能够准确匹配含有遮挡和伪边缘点的图 像,从而解决了基于传统Hausdorff距离匹配方法因噪声点、伪边缘点和出格点而造成的误匹配问题。-Based on the direction of information Robust Hausdorff distance matching method. Methods The direction of the image edge information extraction, matching the rate by calculating the edge (edge matching rate, EMR) access to the candidate matching area, and then adopt a revised structure Hausdorff distance similarity measure. Experimental results show that the method to accelerate the matching process and enhance the anti-noise performance and the ability to accurately match the containing block and pseudo-edge image, so as to solve the Hausdorff distance based on the traditional matching method because of the noise, the pseudo-edge point and the far point matching problem caused by misuse.
Platform: | Size: 1140736 | Author: 南飞燕 | Hits:

[Industry researchmutual

Description: The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.-The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.
Platform: | Size: 98304 | Author: Harry | Hits:

[Special EffectsImage

Description: a very good dll for image process, provide the method to measure and caculate the image, circle fitting, pattern match, ....and so on
Platform: | Size: 29696 | Author: jiangli | Hits:

[Home Personal applicationpicture-measure

Description: 近景摄影测量,提取图像中点坐标,MFC编写,界面美观,适用于初学者-Photogrammetry, image ahead of the mid-point coordinates, MFC write, beautiful interface, suitable for beginners
Platform: | Size: 1159168 | Author: | Hits:

[Special EffectsImage-Fusion-Performance

Description: 本程序实现了论文<<A NEW QUALITY METRIC FOR IMAGE FUSION >>和论文<<Object imag fusion performance measure>>关于融合图像质量评估的算法。-this file is the matlab code of two papers <<A NEW QUALITY METRIC FOR IMAGE FUSION >>and <<Object imag fusion performance measure>>
Platform: | Size: 5120 | Author: zoelong | Hits:
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