登录
首页 » matlab » 几何变换

几何变换

于 2017-11-03 发布 文件大小:2KB
0 159
下载积分: 1 下载次数: 6

代码说明:

  数字图像处理中的几何变换,包括图像的平移,图像的镜像,图像转置,图像的缩放,图像的旋转以及三种插值算法(The geometric transformation in digital image processing includes image translation, image mirroring, image transposition, image scaling, image rotation, and three interpolation algorithms)

文件列表:

几何变换
几何变换\imflip.m
几何变换\imregist.m
几何变换\imrotat.m
几何变换\imtranslation.m
几何变换\imtransposition.m
几何变换\imzoom.m
几何变换\interpolation.m

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

  • matlab_daima
    说明:  读取nc、hdf文件,进行数据分析(趋势分析、逐步线性回归等)(To read nc and hdf and do data analysis.)
    2019-05-02 11:28:37下载
    积分:1
  • underwater-image-enhance
    新的水下图像对比度增强和分割算法(实现对比度的增强和图像分割,内容包括:新的水下图像对比度增强算法、水下图像的分割算法--2008a)(The new underwater image contrast enhancement and segmentation algorithm (implemented contrast enhancement and image segmentation, including: new underwater image contrast enhancement algorithms, underwater image segmentation algorithm- 2008a))
    2013-12-28 11:00:20下载
    积分:1
  • CFAR
    说明:  利用CFAR检测SAR图像中的高亮度目标。(Detect targets with high backscattering intensities by CFAR algorithm)
    2020-12-07 18:39:21下载
    积分:1
  • Wavelet-transform-edge
    基于小波变化的边缘检测程序 matlab的m代码 效果不错(Wavelet transform edge)
    2011-05-19 21:56:42下载
    积分:1
  • yuzhihuafenge
    图像分割是把图像划分成具有实际意义的互补交迭的区域的集合。在图像分割之前,图像区域的数目未知,而在分割后各个区域同时满足均匀性和连通性的条件,故图像分割是一个复杂的过程,目前大多数研究都是针对某一类型图像或者某一具体应用的分割。图像阈值化分割的基本思想是确定一个阈值,然后把每个像素点的像素值和阈值相比较,根据比较的结果把像素划分为两类,前景(1)或背景(0)。该方法的关键是确定一个最优的阈值。常用的阈值确定方法有直接门限法、类间最大方差法(otsu法)、分水岭算法、最小误差法、最大熵法等。该段代码就是图像的阈值分割。(The image segmentation is divided into the practical significance of the emerging area of complementary set. In the image segmentation, before the number of image region, the unknown, and after each area in division at the same time satisfy the uniformity and connectivity condition, so the image segmentation is a complicated process now, most research are for a certain type image or a particular application of the division. Image threshold segmentation of the basic idea is to determine a threshold, then put each pixel threshold value of the pixels and compared, according to the result of the comparison the pixel divided into two categories, the prospect (1) or background (0). This method is the key to determine an optimal threshold. Commonly used method to determine the threshold value of direct threshold method, the largest of the variance between method (otsu method), watershed algorithm, the minimum error method, the maximum entropy method, etc. When the code is image threshold segm)
    2011-11-14 21:10:46下载
    积分:1
  • optimize_c
    用C语言实现最优化算法中的黄金分割法!!(optimization algorithm using c)
    2013-05-15 17:22:18下载
    积分:1
  • SAR雷达点目标仿真与实测数据
    说明:  基于距离多普勒算法和CS算法实现SAR点目标仿真与实测数据处理(Realization of SAR Point Target Simulation and real data processing)
    2021-03-29 09:19:11下载
    积分:1
  • LineMarch
    BMP图像边缘提取后 根据边缘点集直线拟合(BMP image edge extraction fitting a straight line)
    2011-06-23 14:53:47下载
    积分:1
  • gaussian3
    对输入视频进行处理,使用高斯背景建模的方法,得到视频前景,对于人群密度估计具有很大作用。(Processing of the input video, using a Gaussian background modeling method, to get videos prospects for population density estimation has a significant role.)
    2013-07-22 16:37:12下载
    积分:1
  • cvpr01_zollei1109
    医学图像配准,医学图像2D_3D配准,基于vc++开发。(The registration of pre-operative volumetric datasets to intra-operative two-dimensional images provides an im- provedway of verifying patient positionandmedical instru- ment location. In applications from orthopedics to neuro- surgery, it has a great value in maintaining up-to-date in- formation about changes due to intervention. We propose a mutual information-based registration algorithm which es- tablishes the proper alignment via a stochastic gradient as- centstrategy. Ourmaincontributionliesinestimatingprob- ability density measures of image intensities with a sparse histogrammingmethodwhichcouldlead to potentialspeed- up over existing registration procedures and deriving the gradient estimates required by the maximization procedure. Experimental results are presented on fluoroscopy and CT datasets of a real skull, and on a CT-derived dataset of a real skull, a plastic skull and a plastic lumbar spine seg- ment.)
    2014-09-09 16:29:28下载
    积分:1
  • 696518资源总数
  • 105877会员总数
  • 14今日下载