mulgmm

三维逆合成孔径雷达成像算法研究，国外牛人写的，国内下不来，我们教研室托关系在国外下载的(An efficient 3-D near-field ISAR algorithm)

本代码实现了基于卡方分布(nakagami 分布)的恒虚警检测(CFAR)，通过在查找表的形式，实现参数估计和阈值估计，完成对目标的检测。(The code based on the chi-square distribution (nakagami distribution) of the CFAR (CFAR), through the form of a lookup table to achieve the threshold parameter estimates and estimates to complete the target detection.)

说明：  基于matlab 的图像除雾算法。可以很大程度去除雾霾对图像的影响。(Image Defogging Algorithm Based on matlab. The influence of smog on images can be removed to a great extent.)

摘　要:舌象中的裂纹是中医舌诊中的重要内容。由于拍摄条件的不同,舌象质量有较大差异,传统的阈值选取方法并不 适用。文中提出一种舌象裂纹检测的自适应阈值选择方法。该方法利用舌象的L 3 a 3 b 色彩特征及区域的分裂- 合并, 对舌象进行区域分割,自适应地选取舌中部区域的色彩值作为阈值,对整个舌象进行裂纹提取。经验证,本方案对不同的 舌象能较好地提取出裂纹,实现舌象裂纹诊断的客观化。(Tongue’ s crack is a very important part of herbalist doctor diagnosis. For the different screen conditions , there are many differ2 ences on the tongue’ s quality. It is not effective to use the t raditional threshold ext raction algorithm. In order to solve this problem , pro2 pose a new adaptive threshold algorithm. Present the segmentation of the image of tongue by using the feature on tongue in the L 3 a 3 b color space and the split- combining algorithm. Then use the threshold , which is the color value ext racted automatically in the middle of the tongue , to detect the crack of the whole tongue. The experiments show that this approach is able to distill the crack effectively to different tongue images , and achieve the objectivity of the diagnosis based on the tongue’ s crack.)

WAV音频的LSB信息隐藏，隐藏文件为二值图像，Matlab编程(WAV audio LSB information hiding, hidden files as binary image, Matlab programming)

用vibe算法提取动态背景的前景信息，背景为白色(Vibe algorithm is used to extract foreground information of the dynamic background, the background is white)

说明：  标准三步搜索法，用matlab实现，经过实验效果还可以(Standard three-step search method, using matlab to achieve, after the experimental effect can also be)

BRISK特征点提取源代码，Linux及Windows，MATLAB环境。(Linux and Windows)

读入图像，对图像进行预处理，随后检测边缘，对得到的图像进行二值化，然后进行hough变换，获得圆边界，将此图与原图叠加，增强边缘(Read in the image, the image pre-processing, followed by edge detection, binarization on the image to get, and then the hough transform to obtain the circular boundary, this map and the original image overlay to enhance the edge)

用小波去噪，不同尺度下的阀值去噪，去噪效果的对比(With wavelet denoising threshold denoising different scales, denoising effect contrast)