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几种常见的sar图像去噪方法，比如有frost滤波，lee滤波，卡尔曼滤波等。(Several common sar image denoising methods, such as there is frost filter, lee filter, Kalman filtering.)

使用sift+RANSAC完成两幅图像的特征提取和匹配，并将较小图像区域在另一幅中用方框圈出来。运行plot.m。(This code uses sift and RANSAC to extract features of two images and then finds and marks the smaller image in the other image.run plot.m)

图像处理中常用到的二十多个基本算法的源代码，如图像变换、灰度变换、图像滤波、锐化、边缘检测、阈值分割、边界提取、边界跟踪等(Commonly used in image processing to more than twenty basic algorithm source code, such as image conversion, gray-scale transformation, image filtering, sharpening, edge detection, threshold segmentation, edge detection, boundary tracking)

k均值图像分割，经典的图像分割方法，算法简单，效果好。(k-means image segmentation)

本程序采用水平集方法，演示了一个心形曲线在曲率力的作用下，逐渐消逝的过程。(This procedure uses the level set method, shows the process of a heart-shaped curve s disappearing under the force of the curvature.)

图像自定义选区取图源码例程程序结合易语言扩展界面支持库和操作系统界面功能支持库，实现图像自定义选区功能。(Custom image taken Figure source selection routine program combining easy language support library expansion interface and operating system interface features support library that implements a custom image selection feature.)

说明：  基于背景差分法和帧间差分法的目标跟踪 应用了二维滤波，效果较好(Based on background difference and frame difference method applied to two-dimensional target tracking filter, better)

2011年比较流行的简单快速的运动目标检测代码。(More popular in 2011, a simple and rapid moving target detection code.)

将RF信号处理为B型图像的工具包,非常好用(a toolkit to transfer RF signal to B-mode images)

一种可适用于复杂光照环境的低照度图像增强算法，即基于内容感知的自适应对比度提高的增强算法。引入了改进的伽马矫正，可以根据低照度图像的明暗程度自适应的对图像进行预处理。在实验过程中还发现，虽然改进算法有效避免引入大量噪声，但仍有少量噪声存在，为了达到更好的视觉效果，利用改进的双边滤波对增强的图像进行处理，获得最后的增强图像。实验效果显示，该算法可对低照度图像实现理想的增强效果。(A can be applied to complex light environment of low illumination image enhancement algorithm, which based on the content of perception adaptive contrast enhancement algorithm. Introduced the improvement of gamma correction, can according to the low illumination image of light and shade degree adaptive to image preprocessing. In the process of experiment also found that although the improved algorithm effectively avoid introducing a lot of noise, but there still have a small amount of noise, in order to achieve better visual effect, use of improved bilateral filtering to enhance the image processing, finally enhance image. The experimental results showed that the algorithm can achieve a low illumination image enhancement effect. )