insarmatlab

说明：  小波阈值去噪。对灰度图像和二值图像进行滤波。(Wavelet thresholding filter . Denoiseing for the gray image and binary image .)

使用matlab对图像进行超像素分割，附带可执行程序。(Using MATLAB for ultra pixel segmentation of the image, accompanied by executable program.)

一种光学测试的算法，有助于全面分析激光大气传输特性及其对光电系统性能的影响，希望对大家有帮助哦(An optical testing algorithm, which helps to fully analyze the characteristics of laser propagation in the atmosphere and its impact on the performance of photovoltaic systems, we want to help oh)

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 .)

噪声环境下的信号检测算法及matlab算法，高斯环境下，门限检测(Signal detection algorithm in noisy environments and matlab algorithm, Gaussian environment, the threshold detector)

通信专业滤波算法中通过改变不同的观测角计算接受信号的信噪比。(Communications professional filtering algorithm by changing the different observation angle calculation to accept the signal-to-noise ratio.)

图像配准，利用互相关的方法进行图像配准，能达到良好效果(Image registration, the use of the cross-correlation method of image registration, and can achieve good results)

RokcetChip firmware image tools

说明：  图像拼接的Harris 算法，精确有效，实现图像无缝拼接，多幅图片显示，谢谢，希望得到采纳(image mosaicHarris algorithm for image mosaic, accurate and effective, seamless image mosaic)

高动态图像(HDR)合成算法，多曝光图像的配准算法(High dynamic image (HDR) synthesis algorithm, multi-exposure image registration algorithm)