pingjia

有效的实现车牌定位，车牌字符分割和车牌字符识别。(To achieve effective positioning plate, the vehicle registration license plate character segmentation and character recognition.)

说明：  利用相位一致性提取图像边缘，K-means聚类后区域生长进行图像分割，附参考论文。(Using phase coherence image edge extraction, K-means clustering image after region growing segmentation, attached reference paper.)

通过dct的8*8块的变换量化操作结合水印生成水印图像，其中包含几种常见的攻击测试。(The program generates watermark image through DCT transform.)

说明：  区域生长算法，用于图像分割。 运行RunGrow.m 修改文件名即可。(Region growing algorithm for image segmentation. Run RunGrow.m modify the file name.)

在保证图像质量的前提下，为了提高可逆信息隐藏的容量，提出了一种基于差值扩 展的可逆信息隐藏新算法(The premise of guaranteeing the image quality, in order to improve the reversible capacity of information hiding, a difference expansion based on new algorithm for reversible information hiding)

对图像进行小波分解,可以调整层数,效率较高,精确度较高(The image wavelet decomposition, you can adjust the number of layers, higher efficiency, higher precision)

修改了冈萨雷斯《数字图像处理》中的区域生长法。本函数中含有三种选择种子点的方法：分别依据灰度值，种子点位置，交互式选择单个种子点。(Modified the region growing method described in "Digital Image Processing" . This function contains three options for the method of seed points: based on gray value, the location of the seed points, interactive selection of a single seed point. )

图像的反卷积 去卷积复原 效果还不错，欢迎下载(image deconvolution image restoration)

求信噪比的MATLAB源代码 很实用的函数(Signal to noise ratio for the MATLAB source code is very useful function)

说明：  本课题为基于MATLAB的小波变换dwt和离散余弦dct的多方法对比数字水印系统。带GUI交互界面。有一个主界面GUI，可以调用dwt方法的子界面和dct方法的子界面。流程包括，读取宿主图像和水印图像，嵌入，多种方法的攻击（剪切，加噪，旋转等），提取，最后利用psnr峰值信噪比进行评价不同攻击下，鲁棒性的好坏。(This project is based on MATLAB wavelet transform DWT and discrete cosine DCT multi method contrast digital watermarking system. With GUI interactive interface. There is a main interface GUI, which can call the sub interfaces of DWT method and DCT method. The process includes: reading host image and watermark image, embedding, attacks of various methods (cutting, adding noise, rotation, etc.), extracting. Finally, PSNR peak signal-to-noise ratio is used to evaluate the robustness of different attacks.)