附件1-视频读取-播放-存储操作程序

Gabor滤波器的实现函数，与一般网上下载的不同，滤波效果更好，易于提取图像特征(Gabor filter implementation function, and general downloading different, better filtering, easy to extract image features)

这些代码主要是IDL语言源码，主要功能：初始化ENVI,定标,大气校正,融合,镶嵌,裁剪,分类(监督+非监督),面向对象特征提取,结束ENVI(These codes are mainly IDL language source code, the main functions: initialization, ENVI, calibration, atmospheric correction, fusion, mosaic, cutting, classification (supervision + non supervision), object oriented feature extraction, ending ENVI)

对图像进行二维离散小波变换, 变换级数大于等于3级,然后进行阈值化处理(阈值约为10左右),再统计系数中0的个数（百分比表示）并进行重构, 最后计算重构图像的峰值信噪比(PSNR). (Two-dimensional discrete wavelet transform image transformed series is greater than or equal to 3, and then processing thresholding (threshold of about 10 or so), then statistical coefficient in the number (expressed as a percentage) and to reconstruct the final calculation reconstructed image of the peak signal-to-noise ratio (PSNR).)

利用彩色蛇模型对彩色图像进行处理，即不将彩色图像分为Ｒ，Ｇ，Ｂ三个分量，而是将彩色图像视为单一簇的处理，反而会得到更好的边缘清晰度(The use of color snake model for color image processing, that is, not the color image into R, G, B three-component, but rather as a single cluster of color image processing, it will get better edge sharpness)

FIR滤波器的C语言实现 C语言源程序代码及解析(FIR filter, the C language realization C source code and analytical)

使用二维双密度小波2-D Double-Density DWT Thresholding Method，决定图像滤波门限值，实现图像去噪处理。(use of two-dimensional density Wavelet 2-D Double-Density DWT Thresho lding Method, the decision threshold image filtering, image denoising.)

说明：  matlab图像配准算法，确定归一化互相关最大值及其位置，利用相关找到的偏移量，判断两幅图是否相同。(MATLAB image registration algorithm determines the maximum normalized cross-correlation and its location, and uses the offset found by correlation to determine whether the two images are the same.)

遥感图像处理的基本操作：PCA变换、KT变换、直方图显示、彩色显示等(The basic operation of the remote sensing image processing: PCA transform, KT transform, histogram display, color display)

snake算法演示程序，相当不错的一个matlab程序(snake algorithm demo program, a pretty good program matlab)

说明：  这是“An efficientlocalChan–Vesemodelforimagesegmentation”（简称LCV模型）的MATLAB源代码。LCV模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。(This is "An efficientlocalChan-Vesemodelforimagesegmentation" (referred to as the LCV model) of the MATLAB source code. LCV model is very important to local area active contour model, which is widely used in various fields, such as MRI brain image segmentation, vessel segmentation, image bias field correction.)