calcCFARthreshold

光谱角(Spectral Angle)衡量像素间的相关性存在着差异，本程序用于计算光谱角，及光谱角匹配(Spectral Angle (Spectral Angle) to measure the correlation between pixels there are differences, the process used to calculate the spectral angle, and spectral angle matching)

解薛定谔方程，通过辛几何算法得到的辛格式(Solving the Schrodinger equation by symplectic algorithm Singh style)

将RGB格式的图片进行mosaic处理得到RawData格式的图片，然后再恢复成RGB格式彩色图片,laroche-CFA插值算法(turn an RGB picture to RawData picture，then recover the RawData picture to an RGB picture.it is called laroche-CFA.)

brox的光流算法第二部分，用于对两帧图像进行光流分析并检测运动物体(Brox optical flow algorithm of the second part, used in optical flow analysis was carried out on the two frames and detect moving objects)

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)

Harris角点检测程序（内附示例图像），利用鼠标在图像上选择提取交点的区域，进行角点提取。程序语言简洁，利于初学者学习。(Harris corner detection procedures (with sample images), using the mouse in the image on the choice of extraction point of intersection of the region, for Corner Detection. Programming language is simple and conducive to learning for beginners.)

传统的图像分割方法可以分为基于阈值、边缘、区域的方法等，而传统的分割方法在复杂图像分割中效果不好。为了提高图像分割的性能，我们提出了一种基于局部自适应窗口的Otsu方法。首先，分析了传统阈值法在复杂图像分割中不能很好地形成的原因，比较了全局阈值和局部阈值对图像分割的影响。其次，提出了根据局部信息自适应地改变局部窗口大小的方法，分析了该方法的特点。最后，证明了所提出的新方法优于其他方法。实验结果表明，与其他传统方法相比，该方法能保持更多的细节，获得更满意的结果。(The traditional image segmentation methods can be divided into thresholding, edge and region methods. The traditional segmentation methods do not perform well in the segmentation of complicated images. In order to improve the performance of image segmentation, we propose an adaptive windowed range-constrained Otsu method based on local information.First, the reason why traditional thresholding methods do not perform well in the segmentation of complicated images is analyzed. Therein, the influences of global and local thresholdings on the image segmentation are compared. Secondly, a method of adaptively changing the local window size based on local information is proposed, and the characteristics of the proposed method are analyzed. Finally, the superiority of the proposed method over other methods, It is validated by the experiments that the proposed method can keep more details and acquire much more satisfying results as compared with the other conventional methods.)

自然图像的梯度分布为重尾分布，超拉普拉斯分布，本代码通过概率统计画出梯度分布的曲线(The heavy-tailed distribution of gradients in natural scenes have proven effective priors for a range of problems such as denoising, deblurring and super-resolution.These distributions are well modeled by a hyper-Laplacian)

说明：  在MATLAB中实现画无向网络图，可用于社群聚类分析中(In MATLAB,the drawing is not directed to network graph,which can be used in social cluster analysis.)

利用基于直方图的自适应阈值方法实现分割前景与背景(The use of foreground and background to achieve segmentation adaptive threshold method based on histogram)