该代码用颜色提示实现层次式拓扑保持图像分割，效率高，分割效果好。...

图像处理小程序，打开bmp格式文件，进行阈值分割-Image processing applet, open the bmp file format, the threshold segmentation

本程序在对图像进行纹理分析（由于共发矩阵的方法效果很不好，本程序采用基于频率域的纹理分析算法）的基础上，获取图像不同区域的纹理特征，针对这些纹理特征，采用聚类（K-mean)的分类算法对图像进行区域划分！-procedures in the right image texture analysis (due to a total of hair matrix, the effect is very bad, the program uses a frequency domain based on the texture analysis algorithm), on the basis of access to different regions of the image texture features, these texture characteristics, using clustering (K-mean) the right image classification algorithm for a regional breakdown!

补充上次的空域滤波平滑法，这是模板滤波法和中值滤波法-Added the last spatial filter smoothing, which is the template filtering and median filtering method

在panel控件中载入图像,然后对图像进行去噪的处理,-Loading in the control panel image, and then to deal with image denoising,

有java编写,对JPG等图像文件打开,并作一点处理,再保存.-Java has been prepared on the JPG and other image files to open, and that treatment, and then save.

这个是表情识别程序的源代码，连上摄像头之后通过视频进行表情识别。

本程序利用小波变换的方法来获取图像的轮廓 来进行图像配准 先用小波变换检测图像中的边缘 在轮廓中寻找最长的轮廓 计算每间一点的曲率 然后对这些数据匹配 进行图像配准 找到图像的变换参数-This procedure using wavelet transform method to obtain the outline of the image to image registration using wavelet transform edge detection of images to find the longest in the outline of the outline of the calculation of the curvature of each point and then match these data to find the image registration image transformation parameters

介绍卡尔曼滤波的原理以及基于卡尔曼滤波的简单应用-Introduced the principle of Kalman filtering and Kalman filtering based on a simple application of

显示图片的直方图，上传图片到数据库，批量上载和单个图片上载-Photo shows the histogram, upload pictures to the database, the lot on the individual and on the Photo

连通区域标记程序,本程序使用了opencv中图像数据结构：IplImage。算法原理：首先进行第一次扫描，标记连通区域；然后对等价标记进行合并；最后进行第二次扫描，对等价标记进行重新标记。-regional connectivity marking procedures, the procedures for the use of the OpenCV Image data structure : IplImage. Algorithm tenets : first for the first time, scanning, marking regional connectivity; Then equivalent marker for the merger; the final for the second scan, equivalent to re-labeled markers.