Neural-Network-pattern-recognition

Digital Image Correlation (DIC) is an optical, non-contact method to measure full-field displacements and strains. The only requirement is that the test specimen has a random speckle pattern on its surface, either generated by the experimentalist (i.e. random paint pattern) or occurring naturally (i.e. surface texture at large magnifications). There is no inherent length scale to DIC - by choosing the appropriate magnification of images and the corresponding speckle size, DIC can be used to measure displacements from the meter scale to the micron scale.

对Retinex算法进行修正，提高去雾效果(Amend the Retinex algorithm to improve the effect of fog removal)

按照C语言程序实现对128x128像素点、256灰度等级灰度图像的灰度直方图显示(In accordance with the C language program to 128x128 pixels, 256 gray scale histogram display grayscale images)

匹配追踪的主程序,用原子与信号内积的方式，对波包进行分解，再进行时频分析(match persuit)

基于dft变换域的图像水印嵌入程序，通过修改分块dft系数实现水印嵌入，可实现，供初学者参考。(Dft transform domain image watermarking embedding the watermark embedding process by modifying the block dft coefficients, achievable, and reference for beginners.)

MSTAR数据库中的部分SAR图像，大小限制只传12张，分辨率较大约为1476*1784，适合SAR图像的压缩恢复处理(MSTAR part of SAR image size limit only pass 12, higher resolution of about 1476* 1784, for compressed SAR image restoration processing)

Curvelet变换进行图像去噪，Matlab7.0程序(Curvelet transform for image denoising, Matlab7.0 procedures)

利用Hough变换，可以检测图像中的多条线段，效果很好(using hough transform for line detection)

说明：  迭代收缩阈值算法和快速收缩阈值迭代算法求解Lasso问题(Iterative Shrinkage Thresholding Algorithm (ISTA) for LASSO problem)

semi-supervised learning 半监督局部线性嵌入(semi-supervised learning )