手指静脉识别技术

说明：  自己编写的基于直方图均衡化以及边缘增强的程序！(I have written based on histogram equalization and edge enhancement procedure!)

网上下的CLAHE的matlab程序，原先运行有点问题，我修改了下，保证可以通畅运行了。(CLAHE algorithm for image enhancemnt)

可以非常有效地判断裂纹及其延展情况记号笔会uefnhnwefnv看文嵘胡江(cracksfs jefo jfowejfojslf vvojfowjfo klm waefwfea)

编程实现二维8*8图像块的DFT，DCT变换 输入一副RGB图像，将其转化为YCbCr颜色空间，然后对Y分量做分块DFT变换，保存为灰度图像，统计计算时间 编程实现8*8块DCT变换,然后分别显示，当使用64个DCT系数里面的一些系数进行重构，比较其质量；同时熟悉采用FFT来实现DCT变换的思想，并显示2维8*8DCT变换的基函数图像(Programming the DFT, DCT transform of two dimensional 8*8 image block Input a pair of RGB images, transform it into YCbCr color space, then divide the Y component into block DFT transform, save as gray image, and calculate the calculation time The 8*8 block DCT transform is implemented by programming, and then it is shown that when using some coefficients in 64 DCT coefficients, the quality is reconstructed. Meanwhile, the idea of DCT transformation is familiar with FFT, and the base function image of the 2 dimensional 8*8DCT transform is displayed.)

很好的倒频谱计算程序，可立即生成图形，方便读者理解运用。(very good。)

将源图像做高斯卷积，以光滑化源图像，用于图像的预处理(source image makes convolution with gauss so as to smooth the image as a preprocess.)

道路提取，设置初始的点，输入图像，snake 模型(Road extraction, set the initial point, input image, snake model)

利用灰度图 建共生矩阵 利用特征值 对纹理图像分割(The use of grayscale co-occurrence matrix to build the use of characteristic values of the texture map would like to partition)

用于产生离散高斯函数的Matlab源代码。(Discrete Gaussian function used to produce the Matlab source code.)

高斯滤波是一种线性平滑滤波，适用于消除高斯噪声，广泛应用于图像处理的减噪过程。通俗的讲，高斯滤波就是对整幅图像进行加权平均的过程，每一个像素点的值，都由其本身和邻域内的其他像素值经过加权平均后得到。高斯滤波的具体操作是：用一个模板（或称卷积、掩模）扫描图像中的每一个像素，用模板确定的邻域内像素的加权平均灰度值去替代模板中心像素点的值。(Gaussian smoothing filter is a linear filter for the elimination of Gaussian noise, the noise reduction process is widely used in image processing. Popular speaking, a Gaussian filter to the whole image is a weighted average of the process, the value of each pixel, both by itself and other neighborhood pixel values obtained after weighted average. The specific operation Gaussian filter is: a template (or a convolution mask) to scan each pixel in the image, a weighted average gray value of the neighborhood is determined using a template to replace the pixel value of the center pixel of the template.)