diskreet.m

基于图像灰度共生矩阵的特征提取代码，程序实现0 45 90 135度4个方向的特征提取(GLCM based on image feature extraction code, the program achieved 04,590,135 degrees in four directions of the feature extraction)

实现图像配准:线性保角变换，投影变换及仿射变换。(Achieve image registration: linear conformal transformation, projection transformation and affine transformation.)

三维点云配准kd-tree搜索算法，用于特征点的搜索匹配(3 d point cloud registration kd- tree search algorithm, is used to search of feature point matching)

fingerprint normalise

二进小波多级分解。基于二进小波的图像度尺度分解和边缘检测，效果还行。(into two multi-level wavelet decomposition. Based on Wavelet Image degrees scale decomposition and edge detection, the results were OK.)

最大最小距离 聚类算法，可以对一维或者二维信号进行聚类分析。尤其是两类化情况较好时。(maxmum and minimum Cluster Algorithm)

这是通过径向偏振贝塞尔高斯光束聚焦一个组合 二进制相光学元件和高数值孔径的镜头。(This is achieved by focusing a radially polarized Bessel–Gaussian beam with a combination of a binary-phase optical element and a high-numerical-aperture lens.)

利用条件随机场实现的对文本的分类和识别.能在不同参数条件下实现分类(With the use of conditions to achieve the airport on the text classification and identification. Can realize different parameters under the conditions of classification)

稀疏表示，包括ksvd图像去噪，matlab程序，程序有详细注解，便于初学者学习，代码可以直接使用(Sparse representation, including ksvd image denoising， Matlab procedures, procedures are detailed notes, easy for beginners to learn, code can be used directly)

首先通过多分辨率分解法提取高频边缘，然后分别对每层的高频边缘进行非线性插值得到新的高频边缘，接着对高频边缘进行高通滤波得到等强后的高频边缘，最后对增强后的高频边缘进行修正。再在对增强的图像进行对比度拉伸，从而达到增强的目的！(First of all, through the extraction of multi-resolution decomposition of high-frequency edge, and then were on the edge of each high-frequency non-linear interpolation to be the new high-frequency edge, and then the edge of the high-frequency high-pass filter to be strong, such as after the high-frequency edge, and finally on the brink of enhanced high-frequency be amended. Again in contrast enhanced image stretching, so as to achieve the purpose of enhancing!)