Description: Adaptive SAR ATR Problem Set (AdaptSAPS) Version 1.0

基于matlab对灰度图像的二值化自适应阈值的算法-Gray image binarization adaptive algorithm

一些图像处理的源代码，vc编写。需要处理图像的可以看一看.-Some image processing source code, vc prepared. Need to deal with images can take a look at.

用VC语言开发了一个直方图均衡的程序，对于采集到的直方图数据可以实时进行均衡化-use VC to simulate

调用二维小波分解函数进行图像分解，最后显示分解图像的塔式结构-Called two-dimensional image wavelet decomposition function decomposition, and finally show the decomposition of the image of the tower structure

susan角点检测算法的MATLAB程序实现-susan corner detection algorithm for implementation of the MATLAB program

图像处理演示程序，作为图像处理的一个开发平台，里面包含了常用的图像处理功能，方便大家的开发利用。-Demonstration Program image processing, image processing as a development platform it contains the common image processing functions, to facilitate the development and utilization.

利用数字水印技术能够对数字作品实现有效的版权保护。目前的数字水印技术大多都是针对多媒体数据。但是在地理信怠系统中除了橱格数据外, 还存在大的矢童数据。目前的数字水印算法仅仅能满足橱格数据, 无法满足在矢童数据中嵌入水印的需求。本丈在分析数据特汽的基础上, 在矢童数据的频城提出了一套行之有效的数字水印算法。-The use of digital watermarking technology for digital works to achieve an effective copyright protection. At present, most of the digital watermarking technology are targeted at multimedia data. However, in the geographical letter except idle system cabinet grid data, there are still a big child vector data. At present, only the digital watermarking algorithm can satisfy the cupboard grid data, unable to meet the child in the vector data embedded watermark needs. Zhangting data in the analysis of this special steam on the basis of the data in the frequency of vector Tong City proposed a set of proven digital watermarking algorithm.

负责显示BMP文件的一些源码，主要用于识别纹理类图形的初始化，方便后续识别-Responsible for BMP files show some source code, the main categories used to identify texture graphics initialization, to facilitate follow-up identification

纵向扫描的多边形填充算法，可以实现任意多边形的扫描填充-Longitudinal scan of the polygon fill algorithm, you can realize arbitrary polygon scan fill

MATLAB 给图像添加各种噪声：如椒盐噪声，高斯噪声、乘性噪声等等。-MATLAB add all kinds of noise to the image: If salt and pepper noise, Gaussian noise, multiplicative noise and so on.