ASIFT算法

这是一个关于振幅匹配的程序，C环境开发，可用于地震资料振幅匹配(This is a very useful program for amplitude matching by C)

适合初学图形学的人,都是基本的绘图与填充及图形变换,贝页丝曲线的绘制.(graphics suitable for beginners who are basic drawing and filling and graphic transformation, Pui-page wire drawing curves.)

鱼眼图像校正并将校正后的图像转换成鸟瞰图，即俯视图，纯C代码，没有调用其它库(fish eye image correction,then change it to bird s eye view)

vtk碰撞检测程序，基于obb包围盒的碰撞检测程序，需要用cmake进行编译(vtk collision detection procedure, based on obb bounding box collision detection program needs to be compiled with cmake)

光流算法的源码 运用稠密光流（Lucas-Kanade）算法跟踪运动的图像(Optical flow algorithm source code using dense optical flow image (Lucas-Kanade) algorithm to track the movement of)

基于K均值算法和互信息熵差的算法，可以有效地确定分类数,从而该算法对医学图像进行自动优化分割。(K means algorithm based on entropy and mutual information algorithms, can effectively determine the classification number, so that the algorithm for automatic optimization of medical image segmentation.)

超像素分割方法，在计算机视觉领域，图像分割（Segmentation）指的是将数字图像细分为多个图像子区域（像素的集合）（也被称作超像素）的过程。超像素有一系列位置相邻且颜色、亮度、纹理等特征相似的像素点组成的小区域。这些小区域大多保留了进一步进行图像分割的有效信息，且一般不会破坏图像中物体的边界信息。(Super pixel Segmentation method, in the field of computer vision, image Segmentation, Segmentation) refers to the digital image Segmentation region for multiple image sequence (the set of pixels) (also known as the pixels) process. Adjacent pixels have a series of position and features such as color, brightness, texture similar to that of small region composed of pixels. Most of these small area retains the further effective information for image segmentation, and generally does not destroy the boundary of the object in the image information.)

说明：  基于BP网络的印刷体数字识别技术的完整案例，对图像处理及其BP神经网络付有完整的程序，并可以允许，同时还附有大量的测试图片(Digit recognition technology integrity cases, right image processing and neural network BP to pay the full process and allows, but also with a large number of test pictures)

提取并显示鼠标所在图像点的颜色，C++精选学习源码，很好的参考资料。(To extract and display the image color, select learning C++ source code, a good reference.)

本代码是描述图像融合的一个综合性代码，其中包括对图像变换提升等一系列试验方案(The code is described in an integrated image fusion of code, including the transformation of images, such as a series of pilot programs to enhance)