poissonSolver_matlab

四种图像去噪程序，给原图像分别加上高斯噪声，椒盐噪声，乘性噪声，脉冲噪声后进行去噪，输出去噪后的图像(Four image denoising procedures, to the original image plus Gaussian noise, salt and pepper noise, multiplicative noise, impulse noise the Denoising output denoised image)

将传统的串行均值滤波算法修改为基于CUDA的并行的滤波算法(Modify traditional serial mean filtering algorithm based on CUDA parallel filtering algorithm)

活动轮廓算法中的一类-几何轮廓算法，又称Levelset水平集算法，关于该算法的Matlab源码（包含一个test实例）(Active contour algorithm for a class- the geometric contours algorithm, also known as Levelset level set algorithm, algorithm on the Matlab source code (including a test instance))

OCT 成像GPU加速,非常有价值,请参考(S0141 GPU Accelerated Optical Coherence Tomography Imaging)

说明：  curvelet变换贝叶斯估计方法，用于估计含噪声图像的噪声参数。再对图像进行去噪处理(curvelet transform Bayesian estimation methods used to estimate the image noise with noise parameters. Re-image de-noising processing)

过特定人语音情感数据库的建立；语音情感特征提取；语音情感分类器的设计，完成了一个特定人语音情感识别的初步系统。对于单个特定人，可以识别平静、悲伤、愤怒、惊讶、高兴5种情感，除愤怒和高兴之间混淆程度相对较大之外，各类之间区分特性良好，平均分类正确率为93.7 。对于三个特定人组成的特定人群，可以识别平静、愤怒、悲伤3种情感，各类之间区分特性良好，平均分类正确率为94.4 。其中分类器采用混合高斯分布模型。(The system of speech emotion recognition)

卡尔曼滤波的一个典型实例是从一组有限的，包含噪声的，对物体位置的观察序列（可能有偏差）预测出物体的位置的坐标及速度。在很多工程应用(如雷达、计算机视觉)中都可以找到它的身影。同时，卡尔曼滤波也是控制理论以及控制系统工程中的一个重要课题。(A typical example of the Kalman filter, from a limited set, containing the noise, the position of the object observed sequence (there may be deviation) to predict the coordinates of the location and speed of the object. Its presence can be found in many engineering applications (such as radar, computer vision). Meanwhile, the Kalman filter is control theory, and control is an important topic in systems engineering.)

自己写的分割脑组织的程序，用FCM方法分割，可以直接运行(Write their own brain tissue segmentation procedure, using FCM segmentation method can be run directly)

说明：  压缩感知稀疏恢复中使用的OMP算法，matlab例程(OMP algorithm and MATLAB routine used in compressed sensing sparse recovery)

识别结果详见下图，识别图像不错的例子