数字图像处理

用模糊C均值算法实现图像分割 ，文件夹中附带有图片和matlab的源程序，已经验证过可以实现对图片的分割 (Fuzzy C-means algorithm for image segmentation, there is a folder with pictures and matlab source, has already been verified can be achieved on image segmentation)

像素与图像基本指标—彩色图像的基本信息、像素颜色值、图像的大小、矩阵形式等、对灰度图像计算有关统计参数：（1）图像的大小；（2）图像的灰度平均值；（3）图像的自协方差；（4）图像的灰度标准差、对图像进行45度，19度，98度等任意角度的旋转，并计算原图与旋转后图像的相关系数和协方差矩阵(Pixel and Basic Index of Image)

利用梯度算法--最快下降梯度算法进行图像的边缘检测(Gradient algorithm- the fastest decline in the gradient algorithm for image edge detection)

GLCM feature 1 for image

图像纹理提取gabor小波提取特征一幅输入的图形进行特征提取基于gabor小波变换(image texture extraction of edge detection)

航天卫星轨道运行计算，输入轨道根数或初始位置和速度，输出运行轨迹，并绘出三维图像。(Space satellite orbit calculation, enter the number of the track or the initial position and velocity output running track, and draw a three-dimensional image.)

利用HOG算子提取特征，利用支持向量机进行分类，得到了较好的图像分割效果(Using HOG operator to extract features, using support vector machine to classify, get a better image segmentation effect)

说明：  实现DCT与DWT相结合的算法,用matable及小波变换实现所想构思。(The algorithm of combining DCT with DWT is realized, and the idea is realized by matable and wavelet transform.)

匹配算法，可以完美运行，对于初学者有着很好的参考价值(Matching algorithm, can be a perfect run, has a very good reference for beginners)

图像处理中常用到的二十多个基本算法的源代码，如图像变换、灰度变换、图像滤波、锐化、边缘检测、阈值分割、边界提取、边界跟踪等(Commonly used in image processing to more than twenty basic algorithm source code, such as image conversion, gray-scale transformation, image filtering, sharpening, edge detection, threshold segmentation, edge detection, boundary tracking)