Harris

图像去雾基于暗原色先验去雾，何凯明算法的源代码改进，(Dark colors on the image to fog prior to fog, He Kaiming algorithm source code improvements,)

基于主动学习的高光谱遥感图像分类，主动学习方法也比较流行，新颖。(An Active Learning Approach toHyperspectral Data Classification)

1.从图像中识别几何形状的基本方法；基本原理是在于利用点与线的对偶性，将原始图像空间给定的曲线通过曲线表达形式变为参数空间的一个点，这样就把原始图像中给定的检测问题转化为寻找参数空间的峰值问题。 2.基于Gabor变换的人眼检测MATLAB实现。 3.基于Radon的车牌矫正方法。 4.基于模型函数headata产生不同大小的头模型数据。 5.基于函数wdcbm2()设置图像分层阈值压缩参数，实现图像压缩(The basic method of identifying geometry from the image; the basic principle is to use point and line duality, the original image space curve given expression through the curve into a parameter space of a point, so the peak detection problem is given in the original image is transformed into searching the parameter space.)

压缩感知重构算法去噪方法，以及一系列改进方法(Compression-aware reconstruction algorithm denoising method, as well as a series of improved methods)

可以将txt文件中的某一列数据进行提取出来，然后进行图像制图(You can extract a column of data from the txt file and then do image mapping)

实现混合高斯的功能，再次基础上可进行任意操作(The function of mixed Gaussian can be realized, and any operation can be carried out on the basis of it again.)

图像着色处理，对于不同亮度的图像显示不同颜色，应用于水下声纳图像效果比较好。(Image color processing, to the image shows different colors of different brightness, applied to the underwater sonar image effect is better. )

模式识别中运用ICA进行特征提取的matlab代码(Pattern Recognition in the use of ICA for feature extraction matlab code)

KSVD工具包,可以用于去噪增强等多种领域,具体方法是先训练方向,然后沿方向进行(KSVD toolkit can be used to enhance various areas of de-noising, the specific method is the first training direction, and then along the direction)

使用EM算法完成图像的分割，使用混合高斯模型，可以修改分类数。运行EM.m(Expectation Algorithm)