资源列表
zdd
- 去除图像中的噪点，恢复原始图像的清晰程度。主要用于书页扫描-Removal of Facial Image and restore the original image clarity. Mainly used for scanning pages
EAfanfbp
- 基于matlab的扇形滤波反投影重建算法-fan filtered back projection reconstruction algorithm
universal_image_quality_index
- 可以检测各种失真的图像质量评价算法，参见http://www.cns.nyu.edu/~zwang/-can detect all kinds of distortion of the image quality evaluation algorithm, see http : / / www.cns.nyu.edu/ ~ zwang /
inverse11
- 逆透视变换的算法,先生成一个图像 然后将图像坐标系和世界坐标系进行转换 最后将消除透视效果的图像显示出来-inverse perspective transformation algorithm Mr. images into one image will then coordinate system and the world coordinate system conversion for the final elimination of the effects of lens im
matlabCV
- 一些图象处理及机器视觉的matlib工具，例程，有ransac算法，求单应矩阵等等。-some image processing and machine vision matlib tools, routines, ransac algorithm, should seek single matrix, and so on.
BPnetMATLAB
- 面向MATLAB工具箱的神经网络理论与应用程序源代码_wldd，对学习神经网络非常有用
MRF20
- 采用马尔可夫的图像分割程序，VC++编写，效率很快。对很多种图像都有效。-using Markov image segmentation procedures, the preparation of VC, efficiency quickly. Right kinds of images are valid.
code_multiphase
- chan和vese的多水平集算法，可以用2条初始水平集来演化，从而达到检测多目标的目的。-chan and the multi-level set algorithm, you can use two sets to the initial level of evolution, so as to achieve the goal of multi-purpose.
levelsetLBF
- 这是李纯明博士的LBF模型，是对无需初始化的加强和改进。效果很好，速度很快。-Dr. inherit model, initialization of the need to strengthen and improve. Very effective, very fast.
floodfill(matlab)
- matlab环境下的flood fill算法实现，需要cvlib_mex支持，可在http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?下载。objectId=12200&objectType=File-Matlab environment under the flood fill algorithm. cvlib_mex need support in http : / / www.mathworks.com / mat
colorspacetransform
- RGB, YCbCr, HSV, HSL, CIE Lab, CIE Luv, CIE Lch等颜色空间相互转化的matlab实现。 -RGB, YCbCr, HSV, HSL, CIE Lab, CIE Luv, Lch CIE color space such as conversion of the Implementation of Matlab.
sift_application
- 遥感影像的自动配准是长期以来一直未能很好解决的一个重要问题。本文将视频图像匹配中获得巨大成功的SIFT( Scale Invariant Feature Transform)特征应用于遥感影像的自动配准问题中,并且针对遥感影像的成像特点,给出了一种具体的特征匹配方法。对航空和航天遥感影像在不同的变形、不同的光照变化和不同的分辨率下进行的大量实验表明,该方法具有稳定、可靠、快速等特点。-remote sensing images automatic registration is not very