waveletImageFusion

说明：  很好的指纹识别系统 希望能帮到大家 好好加油(A very good fingerprint identification system. I hope it can help you)

SSIM是衡量图像质量的另一个标准，比PSNR略好。此为计算图像SSIM的代码(SSIM is another measure of image quality, slightly better than PSNR. The code is to calculate SSIM.)

Matlab源代码：利用有序抖动算法（Bayer矩阵D4和D8）生成二元图像；利用误差扩散算法（Floyd-Steinberg filter）生成二元图像。(Matlab code using the ordered dithring (Bayer D4 and D8 matrix) to generate the binary images Matlab code using the error diffusion algorithm (Floyd-Steinberg filter) to create a binary image)

radon正反变换，可有效的去除抛物线型的多次波，内附主程序与数据，可以调试 运行(Radon positive and negative transformation, can effectively remove parabolic multiples, enclosing the main program and data, you can debug run)

一个自由、开源的图形库--FreeImage3.92最新版的中文参考(支持位图构件―例如调色板和数据位―的便易访问；将位图从一种位深度转换到另一种位深度；当有多幅位图页―例如TIFF―时访问位图的不同页；基本的位图处理，如旋转、翻转（flipping）和重采样，或点操作，如亮度和对比度调整；Alpha混合与合成（Compositing and blending）；FreeImage不支持：高级图象处理操作，如回卷（Convolution）和变换（Transform）；位图绘制； 矢量图形。)(a free, revenue graphics library-- the latest version FreeImage3 .92 reference to the Chinese (support bitmap elements- such as transfer shade and data spaces- the easy access; will be from a bitmap-depth conversion to another kind of depth; When a number of bitmap page- such as TIFF- Bitmap to visit the different pages; basic bitmap processing, such as rotation, Upset (flipping) and resampling, or point operations, such as brightness and contrast adjustments; Alpha mixed with the synthetic (Compositing and blending); FreeImage not support : Advanced image processing operation, If the response (Convolution) and transform (Transform); bitmap rendering; Vector graphics.))

在rgb颜色空间实现的单高斯模型，用于目标检测(In rgb color space to achieve a single-Gaussian model for target detection)

Gray Level Edge Thinning Method Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing time in the further steps such as labeling and image transformation. We investigate some gray level edge thinning method that is based on the gradient magnitude within 3x3 local neighborhood. The new method has been tested with various types of images the real world. Experimental results show that this method produces more accurate images than those of the popular non-maximum suppression methods do.

用于小波的图像的去噪，对于刚接触图像处理的人来说简单 易懂(For wavelet image denoising, image processing for刚接触people who are easy-to-read)

基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理 (Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixels, that is, to converge to the same point as a starting point to the category and then assigned to this type of labeling of these starting points, at the same time to contain too few pixels to remove the category. Then, using thresholding segmentation method of binary image processing)

小波去噪,实现阈值小波去噪，并且含有frost去噪，并且输出信噪比(Wavelet denoising, to achieve the threshold wavelet denoising, denoising and contains frost, and the output signal to noise ratio)