imjudge

广义高斯概率分布函数的指数估计，包括矩估计和最大似然估计，并对这两种估计进行了比较(exponential cosfficients estimation for generalized Gaussian pdf，include moment estimator and Maximum Likehood estimator. )

em算法求解混合高斯模型，适合图像处理中，对象分割(em algorithm Gaussian mixture model suitable for image processing, object segmentation)

剪切波是小波变换的一种，常用于增强或者去噪，本代码用于去除图像噪声(The shear wave is a wavelet transform, often used to enhance or de-noising, the code is used to remove the image noise)

数字图像邻域平均法去噪的实现(包括有Ｍ文件和图像)(neighborhood Digital Image Denoising the average realized (including M documents and images))

该源程序实现了SAR图像变化检测的功能，方法是基于修正马尔科夫随机场的模糊C均值实现SAR图像的变化检测。(The source program realizes the function of SAR image change detection. The method is based on modified Markov random field fuzzy C-means to realize SAR image change detection.)

自己曾经做的一个项目，基于几何特征的模式识别。可以有效的识别等边三角形，矩形，六角形 和圆形。 基于c++和OpenCV 编写的程序。是学习OpenCV的好代码。 图像处理&模式识别。(Marksdetection for equilateral triangles,rectangle, regular hexagon, special orthogonal polygons and circles Based on C++ and OpenCV good source code for image processing and mark detection)

最新的用matlab实现的ＳＰＩＨＴ算法，实现对图像的高性能压缩。(Matlab using the latest achievement of SPIHT, the realization of high-performance image compression.)

通过遗传算法选择道路图象分割的最佳阈值,阈值的选择采用最大类间方差的办法,程序运行结果达到相当理想的效果(Through the genetic algorithm to choose the best road image segmentation threshold, the threshold was chosen as the maximum between-cluster variance approach, the program results achieved the desired results rather)

高斯核支持向量数据描述（SVDD）方法的源代码 (the code of gauss kernel support vector data description)

本文设计了一套指纹图像预处理和指纹特征提取算法, 利用方向滤波的方法对原始图像进行增强,使用改进的细化算法进行细化, 最后基于脊线跟踪的方法, 用改进的算法更为简洁而有效地避免了各种伪特征。设计的算法经Matlab 实现, 实验效果良好。(Designed a fingerprint image and fingerprint feature extraction algorithm using directional filtering the original image enhancement, improved thinning algorithm refinement, the last ridge line tracking method, the improved algorithm is more simple and effective way to avoid the pseudo-characteristic. Design algorithm with Matlab, the experiment well.)