KRLS

说明：  一种可用的相位恢复算法，做图像处理的同学们可以参考-A effective phase retri algorithm(phase retri algorithm)

全息图的建立与重现 比较简单 但是有说明 比较容易懂(The establishment and reproduce hologram is relatively simple but relatively easy to understand instructions)

高分辨率遥感影像的支持张量机分类方法，此方法能够利用少量的训练样本实现更优的分类精度。(Support tensor machines resolution remote sensing image classification method, and this method can use a small amount of training samples to achieve better classification accuracy.)

说明：  采用 MATLAB 开发环 境，提出了一种图像信息隐藏算法，实现了图像信息隐藏的两大基本功能，即信息的嵌入和信息的提取．同 时，模拟常见的攻击方法，验证了添加隐藏信息后的图像的抗攻击能力(Using MATLAB to develop the environment, an image information hiding algorithm is proposed, which realizes two basic functions of image information hiding, i.e. information embedding and information extraction. At the same time, common attack methods are simulated to verify the anti-attack capability of the image added with hidden informati)

visualc++6.0 实现图像中圆的检测(circle detection)

基于主动学习的高光谱遥感图像分类，主动学习方法也比较流行，新颖。(An Active Learning Approach toHyperspectral Data Classification)

这写程序是对加水印之后图像的攻击，包括加噪声，各种滤波，剪切，压缩攻击和旋转等。(This writing process is a plus watermark image after the attacks, including the increase in noise, various filtering, shear, compression and rotation attacks.)

Matlab源代码：利用有序抖动算法（Bayer矩阵D4和D8）生成二元图像；利用误差扩散算法（Floyd-Steinberg filter）生成二元图像。(Matlab code using the ordered dithring (Bayer D4 and D8 matrix) to generate the binary images Matlab code using the error diffusion algorithm (Floyd-Steinberg filter) to create a binary image)

说明：  该课题为基于MATLAB的汽车出入库识别系统，带有丰富的人机交互GUI界面。目前毕业设计选题中，传统的中规中矩的车牌识别不易得到高分，必须要在此基础上有所创新方得可以避开其他雷同课题，不会轻易被导师被否决而导致毕设不过。因此建议在车牌识别基础上加入多种方法的对比，看看哪种方法的精度高。虽然目前有很多方法的车牌识别，但是都是在各自的测试库里面测试的，比如测试的车牌图像不同，字符库不同，导致无法做对比。整个设计在一个GUI界面上完成。(This project is based on MATLAB vehicle in and out of the warehouse identification system, with rich human-computer interaction GUI interface. At present, in the topic selection of graduation project, the traditional regular license plate recognition is not easy to get high scores, so it is necessary to innovate on this basis to avoid other similar topics, and it will not be rejected easily by the tutor, leading to the failure of graduation project. Therefore, it is suggested to add a variety of methods on the basis of license plate recognition to see which method has high accuracy. Although there are many methods of license plate recognition, they are tested in their own test library, for example, the test license plate image is different, the character library is different, so it can not be compared. The whole design is completed on a GUI interface.)

说明：  本程序在EVC4.0+PPC SDK 2003下调试通过。用Independent JPEG Group发行的JpegLib进行Jpeg图像的读取与保存。(This procedure in EVC4.0+ PPC SDK 2003 adopted under the debugger. By Independent JPEG Group issued JpegLib to read Jpeg images and preservation.)