compute_homography

说明：  图像处理所涉及的256转灰度，二值化等等，每个部分都是独立可执行的工程文件，很方面的代码复用(256 involved in image processing turn gray, binary, etc., are independent of each part of the project executable file, it' s code reuse)

MTF计算程序，图像源需为倾斜边缘，能快速计算不同倾斜边缘的MTF曲线。(MTF calculation procedure，Sequence image source need for inclined edge，Can quickly calculating different inclined edge of MTF curve. )

在两个控件里实现自动的字幕滚动，点击取消后，停止(In the two controls in the subtitles automatically scroll, click Cancel, stop)

图像分割处理的小波变换算法源代码，使用vc++(Wavelet transform image segmentation algorithm source code vc++)

说明：  一个改进的自适应canny算法，该方法采用改进的开关型中值滤波器对图像做去噪工作，再把整幅图像分割为若干子图像，最后在充分考虑全局以及各子图像的边缘梯度信息后，自适应地生成动态阈值。(The new Canny adaptive method divides image into sub-images,then determinates the thresholds automatically according to the whole image edge information and the sub-images edge information.)

说明：  MATLAB如何将图片切分成任意M*N块 在图像处理的时候，有时会不可避免的将图像分块来进行操作，但是图像的像素不可能每次都是可以被整除的，所以我们需要imresize函数对图像的尺寸进行修改，以便可以完成M*N块的分割(How can matlab cut the image into any m * n blocks? Sometimes it is inevitable to divide the image into blocks for operation. However, the pixels of the image can not be divided every time. So we need to modify the size of the image with the function of reduce to complete the m * n block segmentation)

基于RADON变换的。运动模糊处理，其中程序请按说明使用(Based on the RADON transform. Motion blur processing, in which procedures follow the instructions to use)

采用改进的SURF方法进行特征的提取，相比于SIFT，能获取更多的特征点(With the improved SURF methods for feature extraction, compared to SIFT, can get more feature points)

说明：  经典的粒子滤波算法，适用于粒子滤波的初学者更好的了解粒子滤波(Classical particle filter, particle filter for better understanding of particle filter for beginners)

ISODATA算法是在k-均值算法的基础上，增加对聚类结果的“合并”和“分裂”两个操作，并设定算法运行控制参数的一种聚类算法,从而实现遥感影像的非监督分类(ISODATA algorithm is a clustering algorithm based on K-means algorithm, which adds two operations of "merging" and "splitting" of clustering results, and sets the operation control parameters of the algorithm, so as to realize unsupervised classification of remote sensing images.)