CFAR

1.打开左右两张影像2.Harris算法提取同名点3.显示提取同名点（若要进行下一步匹配则不建议显示，这里只是用于查看是否提取出）4.相关系数匹配（只在找出的同名点内匹配）5.LSM最小二乘匹配（先进行粗匹配，再精匹配）(1 Open the left and right images 2.Harris algorithm to extract two tie points 3 shows the extraction of corresponding points (not recommended to proceed to the next match show, here is used to see if extracted) 4. Correlation coefficient matching (just looking match within a point of the same name) 5.LSM least squares matching (rough first match, then fine match))

方向检测的粒子滤波程序，内含重采样算法。(The direction of the particle filter detection procedures, including re-sampling algorithm.)

使用Gabor小波对图像进行特征提取，代码可以直接使用(Using the Gabor wavelet feature extraction, the code can be used directly)

本程序采用迎风方案实现推广GAC模型的水平集方法，希望大家借鉴。(This procedure uses the wind to promote GAC model programs to achieve the level set, and I hope everybody' s reference.)

本m文件实现的是正面人脸的提取，基于YCbCr空间肤色区域提取和形态学的处理(this document is the realization of the right face extraction, YCbCr color space based on regional extraction and processing of morphological)

利用小波实现图像的融合，从两幅模糊的原始图像中回复出原来的图像(Using wavelet analysis for a given image enhancement processing, after the decomposition of image, contour by the low frequency part representation, characterization details with high frequency part. )

HOG（方向梯度直方图）图像特征提取，以lena图像作为示例(HOG (Histogram of Oriented Gradients) image feature extraction, image as an example to lena)

二维相位展开算法 引导相位展开方法相质量运行QualityGuidedUnwrap2D的。 运行戈尔茨坦枝剪相位展开方法GoldsteinUnwrap2D。 （3D实施质量的制导方法，可根据要求提供）(2D PHASE UNWRAPPING ALGORITHMS Run QualityGuidedUnwrap2D for the phase quality guided phase unwrapping method. Run GoldsteinUnwrap2D for Goldstein s branch cut phase unwrapping method. (3D implementation of the quality guided method available on request))

说明：  小波图像融合的6种方法，最大值、局部能量、平均值等等(There are six methods of wavelet image fusion, maximum value, local energy, average value and so on)

求解L1范数最小化问题的凸优化工具包，共含有6个模型的求解方法(Solving the L1-norm minimization problem of convex optimization toolkit contains a total of six methods of solving the model)