harris-match

自编图像处理M文件，经过图像增强滤波去噪二值化，边缘提取，实现对图片内物体的生产标准监测(Self image processing M-file, and after image enhancement filter denoising binarization, edge extraction, the production of objects within the picture of standard monitoring)

为数字图像水印提供多种攻击方式，其中包括JPEG压缩、高斯低通滤波等多达十种攻击方式。(Offers a variety of attacks of digital watermarking ,including the jpeg compression, Gaussian low-pass filtering, up to ten different attacks)

新的形态学图像增强，采用多尺度形态学增强算法，对图像进行增强(morphology image enhance )

详细介绍了常用的四中粒子重采样算法,并给出了他们的性能比较,对研究改进型粒子算法很有帮助,减轻很多工作负担(Details of the four commonly used particle resampling algorithm, and gives the performance of their comparison, the study of modified particle algorithm useful to reduce the burden of a lot of work)

基于小波变换的图像修复算法，对比了FDM和TV算法。(Image restoration algorithm based on wavelet transform)

我写的贝叶斯fusion的Visual C+++源码，简明易懂，提供参数说明 可直接使用。 (The Bayesian fusion the Visual C+++ of what I wrote source, easy-to-understand parameters can be used directly.)

说明：  利用那些已经被破坏的区域的边缘， 即边缘的颜色和结构，根据这些图像留下的信息去推断被破坏的信息区的信息内容，然后对破坏区进行填补 ，以达到图像修补的目的(Using the edge of the damaged area, i.e. the color and structure of the edge, the information content of the damaged information area can be inferred from the information left by these images, and then the damaged area can be filled to achieve the purpose of image repair.)

说明：  最二小乘影像匹配，精度可以达到0.01个像素，也可以最二小乘影像模板匹配。经过修改后可以直接用，只要调用一个函数就搞定，函数参数的说明很清楚，绝对不会有任何困难，非常好用。(Most two Theravada image matching accuracy can reach 0.01 pixel images can also be the most two Theravada template matching. After modifications can be directly used, as long as is you call a function, function parameters, the description is clear and will not have any difficulties, very easy to use.)

求解一个图像的曲率，程序完整，正确，可以用于图像处理(Solving an image of the curvature, the program complete, correct, can be used for image processing)

归一化互相关算法是传统的图像匹配算法,针对传统图像匹配算法运算量大、速度慢的缺点,提出了一种基于小波变换的多尺度图像匹配算法。(Normalized cross-correlation algorithm is the traditional image matching algorithm, proposed a wavelet transform-based multi-scale image matching algorithm for the large amount of computation of traditional image matching algorithm, slow disadvantage.)