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- 第三章 MATLAB 图形对象 3.1 图形对象 3.1.1 Root 对象 3.1.2 Figure 对象 3.1.3 Uicontrol 对象 3.1.4 Uimenu 对象 3.1.5 Axes 对象 3.1.6 Image 对象 3.1.7 Line 对象 3.1.8 Patch 对象 3.1.9 Rectangle 对象 3.1.10 Surface 对象 3.1.11 Light 对象 3.1.12 Tex
houghForest
- 这个是Dr. Juergan Gall写的检测识别图片中的物体，有关的文章名字是Class-specific Hough Forests for Object detection. hough森林方法结合了随机森林和Hough选票去估计物体中心的可能。-A method for the detection of instances of an object class.A class-specific Hough forest is a random forest that maps image
correlCorresp
- 寻找相应的特点,在一副图片的基础是许多光流、立体的视觉和图像间的配准算法。一个发现匹配方法简单,取一小块一个图像,计算其滑动互相与其他的形象,并找到一个高峰。此表格提供了课堂的实现方法。-Finding corresponding features in a pair of images is the basis of many optic flow, stereo vision and image registration algorithms. One straightforward app
patch_recon
- 这是基于patch处理的图像处理matlab程序,具有很好的学术研究价值.-This is based on image processing matlab patch treatment program with good academic value.
Sparse Lab 200-Core
- 基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观 的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均 匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后 采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和 噪声）。-In this paper, we propose a novel method for solv- ing single-image super-resoluti
CVPR2008
- CVPR2008论文The patch transform and its applications to image editing源代码-CVPR2008 The patch transform and its applications to image editing
Patch-Transform-Application
- 这是MIT一个专门研究图像处理的教授团队做的关于patch transform研究的源代码程序，讲述了其在图像拼接，图像重组方面的应用，工程浩大，但是价值非常高。-This is a MIT professor specializing in image processing team to do research on the patch transform the source code of the program, described in the image mosaic, image
vgg_kdtree2
- kdtree的实现，用来图像检索，检索出与某一副图像中某特征相似度由高到低的n副图像-image patch data stored in k-d trees for fast and discriminatory image patch searches.the implemention of kdtrees
patch-transform-
- 图像处理 图像 缩放 SEAM CARVING PDF-IMAGE PROCESS IMAGE SCALE SEAM CARVING PDF
image-patch
- 基于matlab的、结合深度图像的图像修补- Image patch based on matlab, combined with the depth of the image
Analyzing-Spatially-varying-Blur
- 我们提出一种新方法用于单幅图像的空间变化模糊识别,在图像中的每个局部小块，这个局部模糊被选择在一个候选PSFS有限集中间，用一个极大似然方法。我们打算用广义似然减少参数的数量，用广义奇异值分解限制计算值，但是要对图像做出适当的边界假设。-We present a new approach for spatially varying blur identification using a single image. Within each local patch in the image,
FuzzyCmeansWithWeightedImagePatch
- 对《Fuzzy c-means clustering with weighted image patch for image segmentation》这篇文章进行了实现，运行速度在一分钟之内，希望对研究模糊c均值及其拓展算法的人有所帮助。运行testWIPFCM.m即可，注意改掉文件路径-On " Fuzzy c-means clustering with weighted image patch for image segmentation" This article wa
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- 文物修复和图像修复在原理上存在共性，利用这种共性，结合数字图像修复通过数学算法自 动实现的特性，可将文物领域的修复需求预先在计算机上虚拟实现。本文简单阐述这种基于数字图像修复技 术的文物虚拟修复的概念、意义及研究路线、内容，并展示一些文物虚拟修复的实验成果。最后，结合对 文物虚拟修复问题的理解，对数字图像修复技术的在文物领域的应用进行一些展望。-Abstract：In tlle naditional e)【芒IlIlplaur-b鹊ed a1剃tllm，tlle image comp
nlmeans-patch
- 在matlab环境下利用非局部均值滤波对图像处理的SURE估计，很好的程序。-In the matlab environment using nonlocal average filtering SURE estimation for image processing, very good program.
ppbNakagami
- Probabilistic Patch-Based Weights去噪方法，2009年IEEE文章，用于SAR图像去噪效果较好。-Probabilistic Patch-Based Weights denoising method, 2009 IEEE article for SAR image denoising.
Statistical-Image-Completion-master
- Statistical Image Completion. Image processing project realized for the Image Processing class SI241 at Telecom ParisTech. Based on patches statistics of an image, the program aims at completing a missing part of it. It can be used to delete small ob
ImageReading-Patch
- 本程序实现了图像的批量读取，使以后的图像处理更快捷。-This program implements batch reading of images to make the subsequent image processing more efficient.
patchmatch-2.1
- 对结构图像编辑的随机匹配算法，很经典的一个算法。(PatchMatch A Randomized Correspondence Algorithm for Structural Image Editing)
Fuzzrinmealenc
- Fuzzy c-means (FCM) clustering has been widely used in image segmentation. However, in spite of its computational efficiency and wide-spread prevalence, the FCM algorithm does not take the spatial information of pixels into consideration, and hence m
osuraiqssmosure
- Multi-exposure image fusion is considered an effective quality enhancement technique widely adopted in consumer electronics, but little work has been dedicated to the perceptual quality assessment of multi-exposure fused images.In this paper, we fir