几种经典的图像拼接，图像融合算法

视频水印matlab源码，此为第五个压缩包，在水印领域的爱好者可以下载作为参考-Video Watermarking Matlab source, which is the fifth-compressed, Watermark in the field of lovers can download as a reference

边界方向的直方图统计。采用canny算法实现。 测试图片说明：（图像路径名请在main函数中AnsiString name="1.bmp" 中设定) 1.bmp、2.bmp用来测试尺度变换后图像的识别； 3.bmp、4.bmp用来测试尺度变换后图像的识别； 2.bmp、2_shift.bmp用来测试平移后图像的识别。 实现输出灰度图、平滑图、边缘图以及双阈值处理后的边缘图； 运行后文件夹应该有Image1.bmp,Image2.bmp,Image3.bmp,Image4.bmp； 实现输出灰度图、平滑图、边缘图以及双阈值处理后的边缘图； 边界直方图数据和归一化后直方图数据分别保存在histogram.txt和NormalHistogram.txt中。-Border direction histogram statistics. Canny algorithm used. Testing Photo caption: (image path name in the main function AnsiString name = 1.bmp set) 1.bmp, 2.bmp used to test scaling image identification 3.bmp, 4.bmp used to test After scaling the image identification 2.bmp, 2_shift.bmp used to test post-translational image recognition. Realize the output grayscale, smooth map, edge map, as well as dual-threshold edge map after the treatment running folder should have Image1.bmp, Image2.bmp, Image3.bmp, Image4.bmp realize grayscale output, smooth map, edge map, as well as dual-threshold edge map after the treatment border histogram data an

图像的二值化转变，将灰度图像转变成二值图像-Image binarization transformation, the gray-scale image into binary image

在VC6.0中的一些基本操作,常常用来进行简单的学习和常规的练习 -in VC6.0 of some of the basic operations, often used for the study and simple conventional exercise

图像的拼接源代码,该程序通过VC++程序来实现的,包括图像仿射变换、图像融合-Image Stitching source code, the program through the VC++ program to implement, including the image affine transformation, image fusion

JPEG2000的示范性代码Jasper的后继版本，GEOJASPER，版本号1.701.0-JPEG2000 code Jasper model of follow-up version, GEOJASPER, version 1.701.0

摄像机图像序列的全景图拼接，希望能有些用处-Camera panorama image stitching sequence, hoping to be useful

采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化，采用MATLAB编译-Gray-scale transformation using the method of contrast-enhanced images P0304: Histogram of homogenization, using MATLAB Compiler

又一种快速DCT变换，大家看看，也可以！-also a fast DCT, you see, can be!

该函数采用kmeans法进行阈值分割 二值化kmeans.c-The function kmeans method using threshold segmentation kmeans.c Binarization