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ImageQualityMeasures

于 2021-04-17 发布文件大小:897KB

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下载积分: 1 下载次数: 438

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代码说明：

MATLAB源码，使用多种算法进行图像质量评价(MATLAB source code, using a variety of algorithms for image quality evaluation)

文件列表：

ImageQualityMeasures
....................\AverageDifference.m
....................\DistortedImages

....................\...............\gaussian_blur_11.bmp
....................\...............\gaussian_blur_3.bmp
....................\...............\gaussian_blur_5.bmp
....................\...............\gaussian_blur_7.bmp
....................\...............\gaussian_blur_9.bmp
....................\...............\gaussian_noise_10.bmp
....................\...............\gaussian_noise_20.bmp
....................\...............\gaussian_noise_30.bmp
....................\...............\gaussian_noise_40.bmp
....................\...............\gaussian_noise_50.bmp
....................\...............\jpeg_10.jpg
....................\...............\jpeg_2.jpg
....................\...............\jpeg_4.jpg
....................\...............\jpeg_6.jpg
....................\...............\jpeg_8.jpg
....................\Main.m
....................\MaximumDifference.m
....................\MeanSquareError.m
....................\NormalizedAbsoluteError.m
....................\NormalizedCrossCorrelation.m
....................\OriginalImages

....................\PeakSignaltoNoiseRatio.m
....................\ReadMe.txt

....................\StructuralContent.m

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dajinfaanddiedaifa
基于大津法和迭代法的图像二值化程序，相当于利用该方法进行了图像的分割，源码已调试，很好使！(Based on the Otsu method and iterative method of image binarization procedure is equivalent to using the method of image segmentation, source code has been debugging, very good to make!)

2009-09-17 17:58:47下载

积分：1
segmentation-superpixel
超像素分割方法，在计算机视觉领域，图像分割（Segmentation）指的是将数字图像细分为多个图像子区域（像素的集合）（也被称作超像素）的过程。超像素有一系列位置相邻且颜色、亮度、纹理等特征相似的像素点组成的小区域。这些小区域大多保留了进一步进行图像分割的有效信息，且一般不会破坏图像中物体的边界信息。(Super pixel Segmentation method, in the field of computer vision, image Segmentation, Segmentation) refers to the digital image Segmentation region for multiple image sequence (the set of pixels) (also known as the pixels) process. Adjacent pixels have a series of position and features such as color, brightness, texture similar to that of small region composed of pixels. Most of these small area retains the further effective information for image segmentation, and generally does not destroy the boundary of the object in the image information.)

2015-03-31 15:58:59下载

积分：1
mtdel-wsnhows
说明：一个简单的windows TDI框架,通过他可以熟悉TDI框架模型(A simple windows TDI framework through which he can familiarize himself with the TDI framework model)

2019-04-21 02:20:50下载

积分：1
vtkVolume-from-DICOM.tar
Get and render vtk Volume DICOM file

2015-04-13 18:47:09下载

积分：1
DCTmatlab
基于DCT变换的图像压缩matlab实现（附测试图）(DCT-based image compression transform matlab realize (with the test chart))

2008-07-04 17:01:02下载

积分：1
Huffman
把图像导入后，可以实现对图像的huffman编码(Import the images, you can realize the image of the huffman encoding)

2008-05-23 09:12:56下载

积分：1
Registration
提出一种新的基于分支结构特征的视网膜图像配准方法，此算法可降低误匹配的点。能够应用到其他图像配准中，形成良好的等级结构。(Feature-Based Retinal ImageRegistration Using Bifurcation Structures)

2009-11-26 11:05:59下载

积分：1
toolbox-master
说明：该节主要介绍下matlab下的光流法以及一个研究物体检测方面的一个较好的工具箱：Piotr’s Computer Vision Matlab Toolbox .将这两个工具箱及其里面所有文件的路径都添加到matlab路径中去，这样的话基本上是可以用了。 Piotr’s 的工具箱里面的函数很多，也涉及到了很多方面，更主要的是关于目标检测方面的。(This section mainly introduces the optical flow under Matlab and a better toolkit for researching object detection: Piotr 's Computer Vision Matlab Toolbox. Add the two toolkits and all the files in the path to the MATLAB path, which is basically useful. There are many functions in the toolbox of Piotr 's, and there are many aspects involved)

2018-05-25 18:48:56下载

积分：1
PML-v1.0
说明： Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition

2020-11-17 13:59:40下载

积分：1
Digital_image_processing1
数字图像处理试验程序包括图像的压缩模糊锐化(Digital image processing, testing procedures, including image compression blur sharpening)

2009-09-15 20:59:30下载

积分：1

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