exp1

在图像分割中，FCM作为一种高效的分割方法收到广泛应用，FILCM分割算法是FCM算法的一种改进算法。(In image segmentation, FCM is widely used as an efficient segmentation method, and FILCM segmentation algorithm is an improved FCM algorithm.)

一个有关边缘检测 robert sobel FFT傅里叶变换等算法的demo(a demo using VC++ that implements the algorithms of edge detection and FFT)

实现了图片及目标图片的傅立叶变换，并得出了加载到空间光调制器上的相息图！(To achieve the target image and the image of the Fourier transform, and load to obtain a kinoform spatial light modulator on!)

利用四参数随机生成法生成三维多孔介质，以研究黏土、页岩等的微观流动机制(Using QSGS to construct 3D porous media)

文件中含有粒子滤波完整代码以及几种改进粒子滤波算法代码，运行主函数可以分别看到粒子滤波算法和改进后的算法运行效果，适合初学者学习应用(The file contains the complete code of particle filter and several improved particle filter algorithm code, run the main function algorithm performs the particle filter algorithm and the improved see respectively, suitable for beginners to learn to use )

说明：  gui界面设计，进行图像的一般处理，如旋转，加噪，直方图均衡化等(gui interface design, the general image processing, such as rotation, noise, such as histogram equalization)

matlab实现人脸识别和虹膜定位 识别效果良好(Accurate eye location by MATLAB)

对文字笔画特征进行提取，可以对图像中的文本区域进行定位。(Stroke extraction of text features, you can image in the text area to locate.)

针对CT 医学图像和MR I 医学图像成像特点, 提出了基于快速整数提升小波变换的融合方法。在CT 和 MR I 两幅医学图像配准的前提下, 利用提升小波变换把图像分解成低频和高频子图像, 对于小波变换后的高频 子图像, 选择区域标准差大的作为融合后的子图像 对于低频子图像, 采用加权融合, 最后进行小波逆变换, 得到 融合后的图像, 并对融合后图像用信息熵、平均梯度、相关系数的指标进行评价。实验结果表明, 基于快速整数提 升小波变换融合中, 小波高低频系数采用不同的规则能够取得更好的融合效果, 其轮廓清晰。该算法能够提升融 合后的医学图像信息量, 同时有效地保护图像的细节信息, 在执行时间和图像质量上均优于普通小波算法。(A imed at the characterist ics of CT andMR Imedical images, a new image fu sion al2 go rithm based on the fast in t lif t ing w avelet t ran sfo rm s is p ropo sed. Two o riginal images are decompo sed by the fast in t lif t ing w avelet t ran sfo rm s. The fu sion ru le based on the max imum standard deviat ion value variance is u sed to fu se the h igh f requency sub2image, w h ile a w eigh t2 ed average fu sed ru le is app lied by coeff icien t s of the low f requency. F inally, the fu sion image is recon st ructed fo r perfo rm ing inverse fast in t lif t ing w avelet t ran sfo rm s. The fu sion image is evaluated by en t ropy, average gradien t, and co rrelat ion coeff icien t s. Experimen tal resu lt show s that the fu sion image hasmo re info rmat ion than o riginal images and imp roves the quali2 ty of o riginal images. M eanw h ile, the fu sion image p ro tect s detail characterist ics of the image, thu s the real2t ime p rocess and image qualit ies are w ell than tha)

基于FRFT的数字图像水印（lena示例）(FRFT based digital image watermark (lena example))