kernel-fusion

matlab平台实现平移的亚像素配准，精度0.03像素(matlab platform translation sub pixel registration accuracy of 0.03 pixels)

指纹图像预处理程序，包括分割，二值化，去噪和细化(Fingerprint image pre-processing procedures, including segmentation, binarization, denoising and refined)

数字图像处理和图像识别的vc++编程方法(Digital image processing and image recognition of the vc++ Programming)

增量直线拟合(incremental line fitting)算法描述多个物体(Incremental line fitting (incremental line fitting) algorithm for multiple objects described)

在统计学中，皮尔逊积矩相关系数（英语：Pearson product-moment correlation coefficient，又称作 PPMCC或PCCs[1], 文章中常用r或Pearson s r表示）用于度量两个变量X和Y之间的相关（线性相关），其值介于-1与1之间。在自然科学领域中，该系数广泛用于度量两个变量之间的相关程度。它是由卡尔·皮尔逊从弗朗西斯·高尔顿在19世纪80年代提出的一个相似却又稍有不同的想法演变而来的。这个相关系数也称作“皮尔森相关系数r”。(In statistics, Pearson product-moment correlation coefficient (English: Pearson product-moment correlation coefficient, also known PPMCC or PCCs [1], the article used or Pearson s r r representation) is a measure of the two variables X and Y between correlation (linear correlation), a value between-1 and 1. In the natural sciences, the coefficient is widely used to measure the degree of correlation between the two variables. It is made a similar Karl Pearson Francis Galton in the 1880s but made a slightly different idea evolved. The correlation coefficient is also called Pearson s correlation coefficient r .)

matlab图像融合程序 matlab图像融合：brovey变换、PCA变换、乘积变换、HSI变换方式。(matlab image fusion program matlab image fusion: brovey transform, PCA transform, product transformation, HSI conversion mode.)

利用pcnn和nsct实现图像融合，非下采样Contourlet变换，脉冲耦合神经网络，连接强度(Using NSCT and PCNN image fusion, the sampling Contourlet transform, the pulse coupled neural network, the connection strength)

hilbert程序实现变换 需要的朋友可以参考(hilbert transform program can refer to a friend in need)

解决散斑图像的重建问题,主要是使用了相位恢复算法(to study the picture problem)

halcon图像处理软件用来检检测图像的圆状物体。可直接使用。 (halcon image processing software is used to check the oblong object detection image. Can be used directly.)