添加各种图像噪声，高斯噪声，噪声，盐

通过梯度微量流SNAKE方法对图像进行分割-SNAKE flow through the micro-gradient method of image segmentation

基于directshow车型识别程序c++代码，可根据车型的图像特征自动识别车型。-DirectShow-based model identification procedures c++ Code, according to models of automatic identification of image feature models.

1、详细分析了当今流行的各种图像格式的编码与解码方法。 2、利用Microsoft Visual C++ 6.0作为开发工具，使用MFC Application Framework作为软件的基本架构，设计并开发了一个图片浏览器。 3、实现了对BMP、PCX、TGA、JPEG、GIF图像格式的图片进行读、写、显示等基本功能。 4、利用图像处理中一些变换算法，实现了图像的放大、缩小、旋转及百叶窗、马赛克等显示特效。 5、实现了各种图片格式的转换功能。 6、对所开发的软件进行了测试并提出了改进意见。-1, a detailed analysis of a variety of today s popular image format encoding and decoding methods. 2, the use of Microsoft Visual C++ 6.0 as a development tool, use the MFC Application Framework as the basic software architecture, design and develop a picture browser. 3, the realization of the BMP, PCX, TGA, JPEG, GIF image format, picture reading, writing, shows that the basic function. 4, the use of some image processing algorithm to achieve the image to enlarge, narrow, rotating and shutters, mosaic, such as display effects. 5, to achieve a variety of image format conversion function. 6, for the developed software has been tested and made improvements.

图像处理程序之特效显示，天津理工信息安全中心版权所有-Tuxiang chuli texiaoxianshi

模糊C均值聚类算法的MATLAB实现，比较经典的程序-Fuzzy C-means clustering algorithm to achieve MATLAB, compare the classic procedure

判断点是否在多边形之内- Sentences the break point whether in polygon

利用直方图均衡的方法改善图像质量matlab程序-use histogram equalization method to improve image quality procedures Matlab

此算法是基于小波变换特征提取方法的图象匹配-this algorithm is based on the wavelet transform, feature extraction, image matching method

（原创）包括冲激响应不变法设计ButterWorth数字低通滤波器、双线性变换法设计ButterWorth数字低通滤波器、和双线性变换法设计ChebyshevI型数字低通滤波器-(Original) includes the same impulse response ButterWorth Design of digital low-pass filters, bilinear transform design ButterWorth digital low-pass filter, and the bilinear transform design ChebyshevI digital low-pass filter

This Matlab file demomstrates a narrow band algorithm that implements the level set method in Li et al s paper "Level Set Evolution Without Re-initialization: A New Variational Formulation" in Proceedings of CVPR 05, vol. 1, pp. 430-436.