读TIFF

应用harris算子进行角点检测，然后利用相关性检测得到匹配焦点，然后进行图像的重采样，适于对于彩色图像的处理，对于灰度图像，只要将harris算子检测时的图像从彩色道灰度图像的语句去掉即可(Application of operator harris corner detection, and then make use of relevant test match to be the focus, and then carried out resampling images, suitable for color image processing, for gray-scale images, as long as the operator will harris Detect when the image from color Road gray-scale images can be removed from the statement)

产生高维的高斯白噪声数据，这在SAR中使用的很多，并且占有重要的地位，主要表现在，SAR去噪这一部分，能更好的成像(White Gaussian noise high-dimensional data, used in SAR lot, and occupy an important position, mainly, SAR denoising this part, better imaging)

N年前上数字图像课时写的实验报告和程序，用滤波反投影（Filter Back Project，FBP)法重建图像。(Report and source code for data image restore experiment, using FBP.)

说明：  根据：一种可识别破碎图形的特殊广义Hough变换方法 论文，在matlab上做的实验源码，有模版生成，广义哈夫变换代码(In accordance with: A broken identifiable graphics special generalized Hough transform methods papers, in matlab to do experiments on the source, there are template generation, generalized Hough transform code)

this fuction make a roc curve(roc curve)

gmmreg图像配准算法源程序，里面用到了TPS算法，并附有例子。(gmmreg image registration algorithm source code and two demos, which used the TPS algorithm.)

说明：  实现虹膜的预处理、识别等功能，使用matlab实现(iris source code ,using matlab)

对场景分类和语义特征稀疏化的高层图像表示(Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification)

说明：  医学图像资源 内含150张512*512乳腺癌图源 可用来医学图像学习实践(Medical image resource containing 150 512* 512 breast cancer map sources can be used to study and practice of medical image)

采集一幅像素大于64*64黑白图像； 常规的数学统计数据处理：计算图象各象素点灰度值得均值、标准差、方差，并绘出灰度直方图； 采用[FFT（傅立叶变换）]对图像进行分析(Acquisition of a pixel is greater than 64* 64 black and white images The conventional mathematical statistical data processing: calculation of each pixel grayscale image is worth the mean, standard deviation, variance, and draw grayscale histogram The [FFT (Fourier transform)] to do image analysis )