imagetest12

说明：  区域生长算法，用于图像分割。 运行RunGrow.m 修改文件名即可。(Region growing algorithm for image segmentation. Run RunGrow.m modify the file name.)

An image registration matlab code

图像峰度计算函数，可作为图像质量评价的一个标准(Kurtosis calculated image function, image quality evaluation can be used as a standard)

说明：  GI 鬼成像源代码,关联算法和一些数据读取存储等问题 的解决方案(ghost imaging code)

特征提取: 提取了图像中各个标记区域的纹理特征及形状特征,标注详细(King Lek qiong 取: Joan 取了 Minghao Shilu rude plugging 各个标记区 的 理 Canton King Lek Lek 及 near Durian King, 标 downtown Circle Jiu)

一种基于non-sample的纹理合成demo，程序性能还有待优化，效果还不错.(texture synthesis demo.)

使用matlab对图像进行处理实现鱼眼校正，效果良好(Use matlab image processing fish-eye correction, and to good effect)

c#数字图像处理算法典型实例,本资料从数学角度来讲解图片处理的各种方法，是个不可多得的实例(c# a typical example of the digital image processing algorithms, the data from a mathematical point of view to explain the various methods of image processing, is a rare instance)

提出了一种结合USFFT Curvelet 变换的各向异性扩散图像去噪模型。它有机结合了Curvelet 变换和各向 异性扩散（P-M扩散）两者的优点。通过P-范数方法选择合适的梯度阈值K，P-M扩散过程通过处理经过Curvelet 变换得到的图像的不同尺度的Curvelet 系数矩阵，实现了建立在对图像多尺度分析的基础上的新P-M扩散模型。 实验表明，新模型的处理结果能有效避免传统P-M 扩散出现的阶梯效应，同时更好地保留图像的纹理和细节。 关键词：图像去噪算法；各向异性扩散；Curvelet 变换；P-M 扩散(Abstract: An image de-noising model by integrating anisotropic diffusion with USFFT Curvelet transform was proposed, which combined the strongpoint of Curvelet transform with anisotropic diffusion (P-M diffusion). By choosing appropriate gradient threshold K through p-norms and carrying out the P-M diffusion process depend on the different scale matrixes of Curvelet coefficient of the image from Curvelet transform iterations, as a result, the improved model made it possible to carry out the new P-M diffusion de-noising process based on multi-scale analysis of the image. The experiment results have demonstrated that the model can avert the stair-casing effect in the traditional P-M diffusion effectively and keep the textures and details of images better.)

关于Bayes分类器的 实验数据都有 大家相互共享 很好用的软件(Bayesian classifier on the experimental data we have very good mutual sharing of software)