分水岭算法

任意切换各种颜色空间，包含大部分主流的颜色空间转换代码，可实现一键转换。(Arbitrary switching of various color spaces, including most of the mainstream color space conversion code, can achieve one key conversion.)

基于数字图像处理，实现一个公路交通标志（限速）分割和识别的仿真系统。要求系统具有界面并实现以下功能： 1）读入交通标志图像； 2）预处理及交通标志定位； 3）多种图像分割功能； 4）形态学滤波等功能； 5）对标志中的数字进行识别。(Based on digital image processing, a road traffic sign (speed limit) segmentation and recognition of the simulation system. Interface and require a system with the following functions: 1) read the traffic sign 2) pre-processing and traffic signs positioning 3) a variety of image segmentation functions 4) morphological filtering and other functions 5) to mark the numbers Identification.)

说明：  合成孔径雷达CS成像算法，运用该算法获得成像结果(CS synthetic aperture radar imaging algorithm, imaging results obtained using this algorithm)

matlab实现人眼精确定位 实现效果良好(Accurate eye location by MATLAB)

本程序的作用，完成了一种图像的DDE算法，数字图像细节增强。(The role of this procedure, the completion of an image of the DDE algorithm, digital image detail enhancement.)

说明：  最大熵是图像阈值分割里常用的一种简单且效果明显的方法。该代码是最大熵算法的快速递推形式。(Maximum Entropy is Image Threshold Segmentation ri common a simple and obvious effect method. The code is maximum entropy algorithm rapid recursion forms.)

首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。详细比较上述的结果，并分析原因。 (First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)

说明：  16.1利用小波变换法将两幅图融合 16.2利用小波包法将两幅图融合 16.3利用小波变换进行图像分解 16.4重构系数 16.5小波变换提取一个子代直方图 16.6利用小波变换对给定图像旋转后，提取一个子代 16.7提取小波分解概貌系数(16.1 Fusion of Two Pictures Using Wavelet Transform 16.2 Using Wavelet Packets to Fusion Two Pictures 16.3 Image Decomposition Using Wavelet Transform 16.4 Reconstruction coefficients 16.5 Extracting a Child Histogram Using Wavelet Transform 16.6 Extracting a Child After Rotating a Given Image Using Wavelet Transform 16.7 Extracting Wavelet Decomposition Profile Coefficients)

首先利用形态学开运算将图像中小于结构元素的亮点去掉，利用源图像与处理后的图像作差，对差图像进行阈值分割，得到二值图像，将二值图像中的一些干扰区域去掉，提取二值图像中的圆形区域，并在源图像上对小目标进行标记，实现对圆形亮目标的检测(Remove the area in the image smaller than structural element by morphologic open operation，receive image A，original image subtract image A，threshold segmentation for difference image，receive binary image，remove the interference region in the binary image，then extract circular area，and sign the target in the original image. Realize the circular bright target detection)

基于多相结构的信道化接收机，sar图像去噪的几种新的方法，小波包分析提取振动信号中的特征频率。( Channelized receiver based on multi-phase structure, Several new methods sar image denoising, Wavelet packet analysis to extract vibration signal characteristic frequency.)