tuxianggeshizhuanhuan

这是一篇毕业论文基于小波图像去噪的方法研究(This is a thesis research methods based on wavelet image denoising)

编程实现小波的边缘检测算法，对图片的边缘处理(Edge Detection Algorithms of Wavelet Based on Programming)

递归与分治演算Gray码，Gray码是一个长度为2N的序列(Recursive partition calculus with the Gray code, Gray code is a sequence of length 2N)

说明：  对图像进行RGB、HSV单通道分离，滤波，合并。(Single-channel filtering and merging of images)

干涉SAR图像配准程序，matlab编的，很好用！(Interferometric SAR image registration procedures, matlab, and easy to use!)

介绍了不同非线性模型在随机共振中的应用，像饱和非线性，阈值非线性等(Describes the different nonlinear model of stochastic resonance in the application, such as nonlinear saturation threshold nonlinearity. . . .)

图像分割，包括阈值分割Otsu法，边缘检测包括Roberts算子，Canny算子等，边界跟踪包括Bwtraceboundary函数调用来对图像进行分割等(Image segmentation, including threshold segmentation method of Otsu edge detection, including Roberts operator, Canny operator, edge tracking includes Bwtraceboundary function calls to the segmentation of the image)

1.本程序功能包含显示直方图，OTSU的单值分割，OTSU的二值分割,OTSU的三值分割 2.在OTSU的分割时，通常情况下我们是通过类间方差得到一个分割阈值，但是有时候我们需要得到各灰度级别的目标，那么采取多值分割是 很必要的，通过改进得到OTSU的多值分割方法 3.本程序另外还有显示直方图，计算程序运行时间，处理结果以新的窗口显示等细节，这部分适合MFC初学者。(1. This procedure shows the histogram feature, OTSU single segmentation, OTSU binary segmentation, OTSU three segmentation 2. OTSU segmentation, it is usually the case we are through the between-cluster variance by a partition threshold , but sometimes we need to be the gray level of the target, then the multi-segmentation is necessary, through improved access to multi-OTSU segmentation methods 3. This procedure in addition to show the histogram to calculate run time, treatment the results of a new window display the details of this part of MFC for beginners.)

颜色特征提取，提取空间为HSV颜色空间，颜色特征提取，提取空间为HSV颜色空间(color extraction)

图像自定义选区取图源码例程程序结合易语言扩展界面支持库和操作系统界面功能支持库，实现图像自定义选区功能。(Custom image taken Figure source selection routine program combining easy language support library expansion interface and operating system interface features support library that implements a custom image selection feature.)