登录
首页 » matlab » d7

d7

于 2017-11-23 发布 文件大小:1KB
0 124
下载积分: 1 下载次数: 0

代码说明:

说明:  通过matlab实现理想低通滤波对图像处理,进行降噪(matlab,ILPF,noise reduction)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • Undecimated-DWT
    对Lena图先进行jpeg压缩,再对压缩后的图像分别进行小波软阈值去噪和非抽样硬阈值去噪,比较两种去噪方案,非抽样硬阈值有更好的效果。这是根据一篇外文文献来进行编程的,最后有图像对比结果。(According to the paper of OPTIMAL WAVELET THRESHOLDING FOR VARIOUS CODING SCHEMES ,I firstly compresse the Lena picture using the jpeg method ,then respectivly denoise it using the wavelet soft-thresholding method and the undecimated DWT hard-thresholding method.Comparing the two method ,we can find the undecimated DWT hard-thresholding have a better result.)
    2012-05-03 13:02:13下载
    积分:1
  • ostu
    此代码应用于图像分割,是基于类间方差的大津法求分割阈值(This code applies to image segmentation is based on the variance between two classes of Otsu threshold segmentation uated)
    2015-12-01 18:46:59下载
    积分:1
  • MPmain
    匹配追踪的主程序,用原子与信号内积的方式,对波包进行分解,再进行时频分析(match persuit)
    2012-09-09 11:07:17下载
    积分:1
  • graph-cut-method-to-segment-images
    基于图割方法的图像分割程序代码,希望对您有帮助哦!(graph cut method to segment images, it is nessary for you to have a look if you are doing image segmentation.)
    2012-10-28 21:43:48下载
    积分:1
  • 三维矩阵转二维
    在mmatlab中将多波段的遥感图像(三维矩阵数据)转换成二维数据,与求邻域(convert the 3D image data into the 2D data in the matlab)
    2018-01-02 11:24:26下载
    积分:1
  • bmp
    本程序是对24位图片进行灰度化,并进行去边缘的,二值化(This program is to 24 bits images of gray, and go to the edge, binary )
    2012-01-17 08:42:59下载
    积分:1
  • pingjia
    图像处理效果评价,评价指标包括峰值信噪比,熵,以及均方误差,具体公式请参考相关文献(photo)
    2009-05-13 17:06:28下载
    积分:1
  • unlvbo
    图像重建中直接反投影法的源码,可以对图像进行重建(The source code of direct projection,to rebuild the image)
    2014-04-08 21:59:40下载
    积分:1
  • open_hdf5_event
    ENVI中HDF5科学数据支持补丁,更新为一个SAV文件 ,放在安装目录的save_add文件 夹下,启动ENVI即可使用。(HDF5 scientific data in support of ENVI patches, updates to a SAV file on the installation directory save_add folder, start ENVI can be used.)
    2021-04-28 17:48:43下载
    积分:1
  • StereoVision_SSD
    本算法在Matlab2008b 环境下实现。包括main,san 和ssd 三个函数。 这次实现的算法并不是比较两个已经知道的点是否匹配,而是已知一个图形中的特征点,在另外一个图像中找到与其最匹配的点,匹配度用SAD 或者SSD 来度量。 main.m 是程序的入口,包括生成和读入实验数据,调用sad 函数和ssd 函数求匹配点,最后绘 制出最后的结果。sad.m 是用sad 度量方法在另一图中求解匹配点的函数实现,有3 个参数 y=sad(x,image1,image2)。其中x 是代匹配的数据,image1 是图像1 数据,image2 是图像2 数据。 从理论上分析,ssd 比sad 算法要复杂一点,经过测试,在一幅640*480 的图像中寻找10 个匹配点数据SAD 用时25.062519 秒,SSD 用时25.291432 秒。(The algorithm Matlab2008b environment to achieve. Including the main, san, and ssd three functions. The implementation of the algorithm is not the point of comparing two matches already know, but the known feature points in a graphic, an image found in the other match with the most points, matching measured with the SAD or SSD. main.m is the entry, including the generation and reading test data, call the sad ssd function evaluation functions and matching points, and finally draw the final result. sad.m measure is sad figure in another match point in the function implementation to solve, there are three parameters y = sad (x, image1, image2). Where x is the generation of matching data, image1 is the data image 1, image2 is the image 2 data. From the theoretical analysis, ssd little more complicated than the sad algorithm, tested in a 640* 480 images of 10 match points in the search for data using time 25.062519 seconds SAD, SSD with time 25.291432 seconds. )
    2011-01-25 19:06:47下载
    积分:1
  • 696518资源总数
  • 104384会员总数
  • 26今日下载