APBT

像素与图像基本指标—彩色图像的基本信息、像素颜色值、图像的大小、矩阵形式等、对灰度图像计算有关统计参数：（1）图像的大小；（2）图像的灰度平均值；（3）图像的自协方差；（4）图像的灰度标准差、对图像进行45度，19度，98度等任意角度的旋转，并计算原图与旋转后图像的相关系数和协方差矩阵(Pixel and Basic Index of Image)

说明：  hough 变换提取直线 MATLAB程序 可以很好的检测出一副图像中的直线(Extraction of straight line hough transform MATLAB program can detect a very good image of a straight line)

cholesky算法信号稀疏解 对于数据压缩有很大帮助(we are the world we are the children we are the ones)

说明：  基于log Gabor小波的相位一致图像纹理特征分析(Based on log Gabor wavelet phase consistent image texture analysis)

指纹识别系统，包括指纹图像预处理，特征点提取，采用点模式匹配。(Fingerprint identification systems, including fingerprint image preprocessing, feature extraction, using point pattern matching.)

说明：  用于数字抠图的源代码，外国人写的，非常好用(image spectral matting code)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为SP算法，对256*256的lena图处理，比较原图和SP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间(Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and SP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using SP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

多径条件下基于加权空间平滑的阵元幅相误差校正(Multipath based on weighted spatial smoothing array element amplitude and phase error correction)

编程实现二维8*8图像块的DFT，DCT变换 输入一副RGB图像，将其转化为YCbCr颜色空间，然后对Y分量做分块DFT变换，保存为灰度图像，统计计算时间 编程实现8*8块DCT变换,然后分别显示，当使用64个DCT系数里面的一些系数进行重构，比较其质量；同时熟悉采用FFT来实现DCT变换的思想，并显示2维8*8DCT变换的基函数图像(Programming the DFT, DCT transform of two dimensional 8*8 image block Input a pair of RGB images, transform it into YCbCr color space, then divide the Y component into block DFT transform, save as gray image, and calculate the calculation time The 8*8 block DCT transform is implemented by programming, and then it is shown that when using some coefficients in 64 DCT coefficients, the quality is reconstructed. Meanwhile, the idea of DCT transformation is familiar with FFT, and the base function image of the 2 dimensional 8*8DCT transform is displayed.)

SSDA序贯相似性检测方法对图像进行模板匹配。从源图像中取小图，再到源图像中找到小图所处的位置。(SSDA sequential similarity detection method of the image template matching. Source image taken from the small map, to find a small map the source image position.)