BP-Classification

提出了一种基于纠错编码的DCT域数字水印算法,该算法在检测时不需要原始图像,实现了盲检。并且对水印图像进行了利用超混沌置乱处理,提高了安全性能和抗攻击能力。纠错编码的引入使水印抗攻击能力明显增强。 (DCT digital watermarking algorithm based on error correction coding, the algorithm detected without the original image, blind. And watermark image of the the hyperchaotic scrambling process, improve the safety performance and anti-attack capability. The introduction of error correction coding watermark anti-attack capability significantly enhanced.)

基于对BEMD和BEEMD的改进算法-CBEEMD算法实现(An Improved Algorithm Based on BEMD and BEEMD- Implementation of CBEEMD Algorithm)

说明：  图像融合常见功能，3类共12种图像融合算法，GUI界面，源图像(Common functions of image fusion, 3 types of 12 image fusion algorithms, GUI interface, source image)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为SP算法，对256*256的lena图处理，比较原图和SP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间(Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and SP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using SP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

说明：  图像融合算法，高通滤波法、IHS法、PCA主成分分析、小波融合、小波和IHS结合的融合方法(Image fusion algorithm, high pass filter method, IHS method, PCA principal component analysis, wavelet fusion, wavelet and IHS fusion method)

本程序用于对工件图像的预处理，边缘提取等。将改进遗传算法和Hausdorff距离结合用于工件识别。采用canny边缘为匹配特征，将修正的Hausdorff距离作为相似性度量准则，并应用遗传算法进行最佳匹配的快速搜索，成功实现了目标物体的匹配识别(This procedure used for the workpiece image preprocessing, edge extraction and so on. Will improve the genetic algorithm and Hausdorff distance combination for workpiece identification. Using canny edge for matching characteristics, will be amended Hausdorff distance as similarity measurement criteria and the application of genetic algorithm is the best match of the Quick Search, the successful achievement of the target object matching identification)

用matlab实现的基于广义S变换的图像去噪分型处理方法，简单易读(Using matlab realize the generalized S transform-based image denoising typing treatment methods, a simple easy-to-read)

说明：  本书是基于MATLAB 6.5的图像处理工具箱v3.2（Image Processing Toolbox）编写的，较全面系统地介绍了图像处理工具箱v3.2函数在有噪和退化图像的恢复、图形绘制、图像几何变换、图像增强、二值分析、小波分析和分形几何用于图像处理工具箱在工程中具体应用，通过具体的分析和详细的实例，读者不仅可以对MATLAB图像处理工具箱函数的强大功能有一个深刻了解，更能学会正确运用它快速解决实际问题的方法，从而提高分析问题和解决问题的能力。 本书内容全面新颖、针对性强，理论与实际紧密结合，可供从事图像处理相关工作的教师、高年级本科生、研究生和广大科研人员参考。 (err)

通过采用反步滑模控制补偿伺服系统中的齿隙影响，提高跟踪精度(By using the backstepping sliding mode control of backlash compensation in servo system, improve the tracking accuracy)

图像处理中比较有用的二维图像光谱分析，Matlab源代码(Image processing more useful two-dimensional image spectra, Matlab source code)