tiaowenchuli

SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点，其匹配能力较强，可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题，甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力。该算法目前外文资料较多，但中文方面的介绍较少.(SIFT feature matching algorithm is at home and abroad feature points matching hot area of ​ ​ research and difficulties in its matching capability that can handle between the two images, translation, rotation, the matching problem in the case of affine transformation, and even to some extent have a relatively stable feature of the ability to match images taken on any angle. The algorithm is more foreign materials, but the Chinese introduction less.)

说明：  利用马尔可夫模型检测分割图像，获得MAP准则下的图像分割结果(??????????í ?? ?? ?? ?? ò?? ?? ???? ?? ì ?? ?? ?? ?? ???? ?? ???? ?? ?? ????μ??MAP × ?? ??ò????μ???? ?? ???? ?? ?? ?? ?? á ?? ??)

根据图像四个方向的共发矩阵，求取四个灰度共发矩阵的熵，求熵的均值生成特征矩阵，通过聚类分析实现图像的纹理分割。(In accordance with the direction of a total of four images fat matrix, to strike a total of four gray hair matrix entropy, and entropy generation characteristics of the mean matrix, through cluster analysis of the realization of image texture segmentation.)

shp 全国村镇边界数据

编制通用的二值形态学运算（腐蚀和膨胀、开、闭和击中击不中变换）函数，函数可以处理不同的变换形式和不同类型的结构元素。并用你编制的形态学函数对一个二值图象进行处理。 用形态学击中击不中变换方法对图象进行细化处理。 实验图象：二值图象由一段文字组成，word_bw.bmp (The preparation of binary morphological operations (erosion and dilation, opening, closing and hit-miss transform) function, the function can handle the transformation of different forms and different types of structural elements. You prepared in morphology function of a binary image. Morphological hit-miss transform method of image refinement process. Experimental images: binary image by a paragraph of text, word_bw.bmp)

vc编写数字图像处理的程序,其中有图像处理的各种方法的程序(Vc write a digital image processing program, including the various methods of image processing program)

GML_RANSAC_Matlab_Toolbox_0[1].2--RANSAC算法及其各种改进算法，以及仿真结果分析－－只是分析(GML_RANSAC_Matlab_Toolbox_0 [1] .2 RANSAC algorithm and its improved algorithm, as well as analysis of simulation results- only analysis)

说明：  基于小波变换的图像融合，可实现两幅图像的融合，融合规则可自定义(Image fusion based on wavelet transform can realize the fusion of two images, and the fusion rules can be customized)

本算法需要两幅或多幅不同偏振角度的有雾图像，应用暗通道算法估计大气光强，最终所得的图像去雾效果较好(Fog fog removal based on polarization information)

本代码实现的功能：24位位图（BMP）的灰度化。具体实现过程：打开图像文件,找到数据区(每3个字节代表一个象素的R,G,B值),循环扫描,根据RGB的权重,计算出灰度值. 如果要得到256色灰度图,则要新建一个调色板,修改信息头和文件头.(Realize the function of the code: 24-bit bitmap (BMP) of the gray. Concrete realization of the process: Open the image file, locate the data area (3 bytes per pixel on behalf of a R, G, B values), cyclic scan, according to the weight of RGB, gray value is calculated. If you want to get 256 colors grayscale, would create a new palette, modify the header and file header information.)