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形态学成分分析，该方法的基本思想是利用信号组成成分的形态差异，将图像分割为纹理和分片光滑部分。(Morphological Component Analysis，The basic point is that an image can be divided into texture and piecewise smooth parts by the morphological diversity among signal components.)

图像特征隐写分析，用于分析图像是否含有秘密信息(Image feature steganalysis for the analysis of the image if it contains confidential information)

数字图像处理诸多算法源代码，图像处理的同学可以下载下来看看，适合初学者。(c++ code of digital image process )

图像的读入，放大，cany检测，二值化，灰度化，任意角度旋转(Read image, zooming, cany detection, binarization, gray, and arbitrary rotation angle)

用于植物叶片分类的图形界面,是Matlab源码，用BP神经网络实现(For plant leaf classification graphical interface, the Matlab source code, using BP neural network)

说明：  对图像进行显著性增强，并且将显著新部分分割处理(The image is significantly enhanced and the significant new part is segmented)

自动种子区域生长代码，用MATLAB运行，不必选择种子点 可以自动选择阈值 实现图像分割！(The automatic seed region growing code, run, do not have to select seed point can automatically select the threshold image segmentation using MATLAB)

超像素分割图像，将彩色图像转化为CIELAB颜色空间和XY坐标下的5维特征向量，然后对5维特征向量构造距离度量标准，对图像像素进行局部聚类的过程(simple linear iterativeclustering)

包含二值化、canny算子边缘检测、感兴趣区域提取、自动多阈值分割等程序，及分水岭分割和连通域字符识别两篇文章。(Contains two values, canny edge detection, region of interest extraction, automatic threshold segmentation procedures, and watershed segmentation and character recognition two articles connected domains.)

利用数学形态学进行图像去噪，实现了自适应图像去噪的目的，希望能够给大家帮助(Using mathematical morphology for image denoising and achieve the purpose of the adaptive image denoising, hoping to give you help)