在vc++中，使用单文档程序，对数字图像进行拉普拉斯变换。供有兴趣的朋友学习...

一个完整的程序,可运行,包含了图象处理的很多操作.适合初学者形象的了解图象处理的基本原理.需要的可以下载.-A complete procedure to run, contains a lot of image processing operations. Suitable for beginners to understand the image of the basic principles of image processing. What is needed can be downloaded.

几个经典的图像拼接，图像融合算法-Several classical image mosaic, image fusion algorithm

基于轮廓的形状特征提取 1)该程序在VC＋＋6.0下编译通过； 2)测试图片说明：（图像路径名请在main函数中fp=fopen("1.bmp","rb")中设定） 64×64 24bit BMP： 图像1、2用来验证旋转图像识别；图像1、3用来验证平移图像识别；图像1、4用来验证缩放图像识别； 120×120 24bit BMP： 图像5、6用来验证平移图像识别；图像7、8用来验证旋转图像识别； 3)结果说明： MCS.dat保存了Mountain Climbing Sequence。 -Based on the outline of the shape feature extraction 1) the program in VC 6.0 under the compiler through 2) Test Photo Caption: (image path name in the main function fp = fopen (1.bmp, rb) set) 64 × 64 24bit BMP: image 1,2 to verify rotating image recognition image 1,3 to verify translational image recognition image 1,4 to verify scaling image recognition 120 × 120 24bit BMP: images used to verify translational 5,6 image recognition images 7,8 rotate images used to verify identification 3) The results indicate that: MCS.dat preserved Mountain Climbing Sequence.

可以将DICOM格式的医学图像文件转换为bmp文件，以便于进一步处理。-Can be DICOM format medical image files converted to bmp files, in order to facilitate further processing.

本代码提供了基于小波分析的图象融合技术，提供了多个融合算子-provide the code based on wavelet analysis of the image fusion technology, and a number of integration Operator

exp1.m为对图像进行二级分解并提取每层低频信息进行压缩的源程序-exp1.m for the secondary decomposition of the image and extract low-frequency information of each compressed source

该程序可实现图像的基本运算，比如图像的放大、缩小、旋转、图像增强、图像的特效显示等。-The program can realize the image of the basic computing, such as the image to enlarge, narrow, rotating, image enhancement, image display, such as special effects.

包括画直线、反走样直线、画圆、 画椭圆、画矩形、画多边形、矩形填充、多边形填充、3D变换、光照、贴图等-Including painting a straight line, anti-aliased line, circle, drawing an oval, rectangular painting, painting polygon, rectangle fill, polygon fill, 3D transformation, light, texture, etc.

针对传统方法难以可靠估计图像中纹理单一区域像素点视差的问题,将纹理分析应用于立体匹配中,提 出图像分块整体匹配的方法。首先用LBP/C纹理分析方法对图像纹理进行描述 然后进行基于区域生长的扩张检 测,得到纹理单一图像块 最后对图像块进行整体匹配,得到纹理单一区域的稠密视差图。对国际标准图像进行测试, 结果表明该算法能提高纹理单一区域稠密视差图的精度,具有实用价值 -Due to the difficulty of getting disparity of less textured pixels with traditional approach, block matching algorithm with texture analysis was put forward. First, the images were described by LBP/C texture analysis. Then the expansion detection based on region growing was performed, and the less textured blocks were acquired. Finally the dense disparitymap of less textured area was obtained through block matching. The proposed algorithm was tested with the international standard image data and comparedwith some existing algorithms. The experimental results show that the proposed algorithm can improve the accuracy of disparitywhen handling less textured areas and can be used in practic

图像边沿处理、检测与提取，是常用的图像处理软件之一-Edge image processing, detection and extraction, is commonly used in image processing software, one of