adaptivegeneticagrithorm

信号进行EEMD分，作为希尔伯特黄变换的基础(try to decompose signal using EEMD，which as the Hilbert Huang Transtion basis)

对于iOS图像旋转，精选ios学习编程源码，很好的参考资料。(For iOS image rotation, selection of learning IOS programming source code, a good reference.)

刀刃法获取靶标图像的MTF,PSF.适用于遥感图像中的MTF提取。(The blade method for target images MTF, PSF. Apply to the remote sensing image MTF extraction.)

c#编写的图像平滑处理，源码比较全，可以成功编译，希望对大家有帮助。(c# prepared by the image smoothing, source code comparison, can be successfully compiled, we want to help.)

说明：  随机中点位移法matlab程序代码，生成三维山地模型(Random Midpoint Displacement Method for Mountains Generation)

自己用matlab语言编写的基于双线性插值的图像旋转程序(I have written based on the bilinear interpolation of the image rotation process)

能量熵的计算，FMCW调频连续波雷达的测距测角，完整的图像处理课设，包含所有源代码，汽车图像。( Energy entropy calculation, FMCW frequency modulated continuous wave radar range and angular measurements, Complete class-based image processing, contains all of the source code, auto image.)

说明：  Matlab边缘检测和区域生长图像分割算法代码，适合于图像边缘检测。(Matlab edge detection and region growing image segmentation algorithm code, suitable for edge detection.)

说明：  图像处理小工具箱，包括中值滤波，高斯滤波，均值滤波，canny边缘提取等小程序(Image processing toolbox, including median filter, gaussian filter, mean filter, canny edge extraction and other small procedures)

　对经典的二值化方法Ostu 算法和Bernsen 算法中存在的缺点进行了分析, 提出一种结合Canny 算子的图像 二值化方法.该方法综合考虑了边缘信息和灰度信息, 通过边缘附近种子点在高阈值二值化图像中的填充和低阈值 图像对它的修补而得到二值化结果图像, 较好地解决了经典二值化方法中存在的抗噪能力差、边缘粗糙、伪影现象 等缺点.实验结果证明, 该方法能够较好地解决低对比度图像和目标像素灰度不均匀图像的二值化问题(The disadvantage of the classical binary method Ostu Bernsen algorithm and algorithms exist were analyzed, one binding Canny operator image binarization method. This method considers the edge information and gray information, through seed near the edge point padding and a low threshold image to its repair in a high threshold binary image to obtain a binary result image, it solves the noise immunity classical binary method exists difference, rough edges, artifacts phenomenon and other shortcomings. the experimental results show that this method can solve the low-contrast image and the target image pixel gray uneven binary problem)