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Description: 基于NI公司的视频捕捉，模式匹配，图象跟踪软件，参加大学生挑战杯科技作品比赛．-the video capture, pattern matching, image tracking software, students participate Technology Challenge Cup competitions.
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Size: 304128 |
Author: 廖降龙 |
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Description: 此设计要求能够实现将医学图像进行识别的过程，包括了图像预处理、图像特征提取及分类判决三大模块。在预处理这一步中主要实现的是将彩色图像转换为灰度图像，灰度图像的二值化，直方图修正，去除干扰、噪声以及差异，边缘增强等；第二模块是图像的特征提取。由于对象的物理与几何特性差异，在影像中表现为局部区域的灰度产生明显变化，形成影像特征，而图像特征提取就是对其进行加工、整理、分析、归纳以便提取构成目标影像的特征，得到能反映图像内容区别于其他事物的本质特征；分类判决作为第三模块，则是要在第二步的基础上采用某种分类判别函数与判别规则，通过对目标特征的分析和匹配来识别目标。-this design requirements to achieve medical image identification process, including the image preprocessing, Image feature extraction and classification ruling three modules. This pretreatment step in the main achievement of the color image is converted to grayscale images, the two gray-scale image value, histogram amendment to remove interference and noise variance Edge Enhancement; the second module is the image feature extraction. Because of the physical objects with geometric characteristics difference in the images showed local area Gray significant changes, the video features, feature extraction and image is its processing, compilation, analysis, summarized in order to extract constitute the target image features can be reflected image as distinct from the other characteristics of th
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Size: 6144 |
Author: uhih |
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Description: 采用共信息(mutual information)实现了图像对齐的功能（image registration）。这在数据融合，图像处理里是很重要的。-adopt information (mutual information) to achieve alignment of the image features (i MAGE registration). This data integration, image processing, was very important.
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Size: 186368 |
Author: sea |
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Description: 这是个图象中人脸识别的程序，对人的五官有很好的识别和勾画！-This is the image Face Recognition procedures, the features of a very good identification and sketches!
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Size: 3055616 |
Author: zhou |
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Description: A general technique for the recovery of signi cant
image features is presented. The technique is based on
the mean shift algorithm, a simple nonparametric pro-
cedure for estimating density gradients. Drawbacks of
the current methods (including robust clustering) are
avoided. Feature space of any nature can be processed,
and as an example, color image segmentation is dis-
cussed. The segmentation is completely autonomous,
only its class is chosen by the user. Thus, the same
program can produce a high quality edge image, or pro-
vide, by extracting all the signi cant colors, a prepro-
cessor for content-based query systems. A 512 512
color image is analyzed in less than 10 seconds on a
standard workstation. Gray level images are handled
as color images having only the lightness coordinate-A general technique for the recovery of sig ni cannot image features is presented. The techni que is based on the mean shift algorithm, a simple nonparametric pro-cedure for estimat ing density gradients. Drawbacks of the curren t methods (including robust clustering) are av oided. Feature space of any nature can be proces sed, and as an example, color image segmentation is dis-cussed. The se gmentation is completely autonomous. only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro-vide. by extracting all the signi cannot colors, a prepro- cessor for content-based query syste ms. A 512,512 color image is analyzed in less than 10 seconds on a standard workstation. Gray 4ISR l images are handled as color images having only the lightness c
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Size: 17408 |
Author: gggg |
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Description: Distinctive Image Features from Scale-Invariant Keypoints-Distinctive Image Features from Scale-In variant Keypoints
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Size: 51200 |
Author: 王松 |
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Description: svm程序代码，用于模式识别和分类，也可用于图像特征。-svm code for pattern recognition and classification can also be used to image features.
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Size: 172032 |
Author: chenxi |
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Description: shi-tomasi-good-features-cvpr1994 good features track---image proce
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Size: 250880 |
Author: fang hua |
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Description: 基于Snake 模型的图像分割技术是近年来图像处理领域的研究热点之一。Snake 模型承载上层先验知识并融合
了图像的底层特征,针对医学图像的特殊性,能有效地应用于医学图像的分割中。本文对各种基于Snake 模型的改进算法和
进化模型进行了研究,并重点梳理了最新的研究成果,以利于把握基于Snake 模型的医学图像分割方法的脉络和发展方向。-Snake model based on image segmentation image processing technology in recent years one of the hot areas of research. Snake model bearing a priori knowledge of the upper and bottom of the convergence of image features, for the specificity of medical images can be effectively applied to medical image segmentation. In this paper, model-based Snake improved algorithm and evolutionary models were studied and focused on combing the latest research results, in order to grasp the Snake model based on medical image segmentation method of context and direction of development.
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Size: 476160 |
Author: 赵希成 |
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Description: phase congruency相位一致性计算，可以用于提取图像的特征，如边缘、角点等。-calculation of phase congruency phase coherence, can be used to extract image features, such as edge, corner points.
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Size: 6144 |
Author: |
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Description: 此程序计算图像的七个不变矩，提取出图像的形状特征，可用于图像检索。-This procedure of calculating the image of seven invariant moments, the shape of extracted image features, can be used for image retrieval.
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Size: 1024 |
Author: Owenli |
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Description: 关于图像处理中常用的一些功能的matlab源代码-Commonly used in image processing on some of the features of the matlab source code
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Size: 44032 |
Author: 张秀秀 |
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Description: 图像处理通用功能软件包 包括图像的中值滤波 边缘检测 图像的腐蚀等-Image processing software packages, including general features of the median filter image edge detection of corrosion, such as images
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Size: 1091584 |
Author: xxx |
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Description: 原创图片检索程序。选择一张图片以及一个图片文件夹，提取图片特征，使用R树进行查询。请在vc8以上环境打开此工程。-Original image retrieval process. Select a picture and a picture folder, extract image features, using the R tree query. Please open this vc8 over environmental engineering.
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Size: 186368 |
Author: 王妙一 |
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Description: Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe
这是一个很好的图象匹配算法（SIFT），同时能处理亮度、平移、旋转、尺度的变化，利用特征点来提取特征描述符，最后在特征描述符之间寻找匹配。
-Distinctive Image Features from Scale-Invariant Keypoints
David G. Lowe
这是一个很好的图象匹配算法（SIFT），同时能处理亮度、平移、旋转、尺度的变化，利用特征点来提取特征描述符，最后在特征描述符之间寻找匹配。
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Size: 51200 |
Author: Deng Fu Qin |
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Description: 两份SIFT的重要资料：Distinctive Image Features from Scale-Invariant Keypoints（by David G. Lowe）,SIFT特征匹配技术讲义(by 赵辉)-SIFT two important information: Distinctive Image Features from Scale-Invariant Keypoints (by David G. Lowe), SIFT feature matching technical notes (by Zhao Hui)
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Size: 2062336 |
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Description: 图像的特征（面积，周长，圆形度，重心等）提取。-Image features (area, perimeter, circularity, the center of gravity, etc.) extraction.
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Size: 4096 |
Author: 王卫忠 |
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Description: 英文资料 Distinctive Image Features from Scale-Invariant Keypoints-aaaDistinctive Image Features from Scale-Invariant Keypoints_2004 by David lowe
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Size: 739328 |
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Description: 图像特征点匹配-image Features Points Match
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Size: 27553792 |
Author: jyj |
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Description: Distinctive Image Features Scale-Invariant Keypoints-Distinctive Image Features Scale-Invariant Keypoints
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Size: 859136 |
Author: 胡磊 |
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