SANBAN

说明：  CA-CFAR的仿真程序，对初学者十分友好。(The simulation program of CA-CFAR is very friendly to beginners.)

运用susan算法进行角点检测，并在图中显示出来(Application susan corner detection algorithm and displayed in the drawing)

视觉测量中编码点与非编码点的匹配的方法实现(Vision measuring, coding point and the coding point matching )

读取图片，分割出敢兴趣区域，用到同态滤波，形态学，连通域，以及hough圆检测等算法。(Read images, segmented m interested in the area, the use of homomorphic filtering, connected domain, morphology, hough circle detection algorithm)

运用偏微分方程(PDE)方法进行图像处理的matlab程序，包括图像滤波、图像分割、插值、图像增强、恢复及一些方程组求解等在偏微分方法处理图像处理领域常用且重要的处理程序，供大家学习。(The use of partial differential equations methods matlab image processing procedures, including image filtering, image segmentation, interpolation, image enhancement, restoration, and some partial differential equations approach to solving such as in the field of image processing procedures used and important for them to learn.)

针对现有方法存在的隐藏容量低、操作不灵活的缺陷，文章提出了一种基于无损压缩的加密图像可逆 信息隐藏算法。(In view of the defects of low hiding capacity and inflexible operation of the existing methods, this paper proposes a reversible information hiding algorithm for encrypted images based on lossless compression.)

Real-time foreground–background segmentation using codebook model 了解码书进行图像处理(背景与前景)的原理，可以从该文章中获得有益的参考价值(Real-time foreground–background segmentation using codebook model A practical paper for knowing of image processing theory(about foreground-background) by codebook)

对普通的粒子滤波和一种改进的粒子滤波算法进行比较，证明改进算法优越性(Of ordinary particle filter and an improved particle filter for comparison, to prove the superiority of improved algorithm)

Image enhancement is a processing on an image in order to make it more appropriate for certain applications. It is used to improve the visual effects and the clarity of image or to make the original image more conducive for computer to process. Contrast enhancement changing the pixels intensity of the input image to utilize maximum possible bins. We need to study and review the different image contrast enhancement techniques because contrast

针对大尺度图像配准和不同传感器图像配准问题, 介绍了一种基于 SIFT 的图像配准方 法。(For large-scale image registration and image registration problem from different sensors, introduces a SIFT-based image registration method.)