4

处理图像，利用提出高频的方法，把图像中的裂纹提取出来。能比较好的把背景图像和裂纹分割开来。(Processing images, the use of the proposed high-frequency method of the cracks in the image extracted. Good background image and crack separated.)

采用协方差的方式计算相关系数，分析图片的相似性，然后对图像进行匹配(The covariance of the way of calculating the correlation coefficient, and analyze the image similarity, and then to do image matching )

使用split bregman算法实现的压缩感知(Compressed sensing implemented by using split Bregman algorithm)

指纹图像增强，gabor滤波器，包括形态学分割，形态学细化，加窗短时傅里叶变换增强，方向图估计及平滑，纹线频率估计及平滑(Fingerprint image enhancement, gabor filters, normalization, equalization, morphological segmentation, morphological thinning, windowed short time Fourier transform enhanced estimates and smooth pattern, ridge frequency estimation and smoothing)

数字图像隐藏及提取研究分析论文、文献等。主要研究算法为LSB算法和DCT奇偶量化、DCT均值量化。(Digital Image Information Hiding and Extraction of analytical papers, literature. The main algorithm for the LSB algorithm and DCT parity quantization, DCT mean quantization.)

此代码通过OBMC(重叠块运动补偿)实现了视频插帧运算。利用已有的运动向量和前后两帧图像，通过OBMC算法，求出中间内插帧(This video frame interpolation operator code OBMC (overlapped block motion compensation). Using the existing motion vectors and two of front and rear image is obtained through the the OBMC algorithm, intermediate interpolated frame)

论文介绍了一种SFS 算法的参数估计及其实现。它在考虑自遮掩影响的情况下, 有效地估计了SFS 算法中涉及的各种控制参数, 并引入亮度约束、灰度梯度约束和可积性约束, 计算出表面高度和表面向量, 实现三维重构。最后还指出了在Matlab 中实现需要注意的问题。(The paper introduced a SFS algorithm parameter estimation and its implementation. It under the condition of considering the covering effect, estimates the SFS algorithm effectively involved in all kinds of control parameters, and introduces brightness constraint, gray level gradient constraint and the integrability of constraints, calculate the surface height and surface vector, realize the three-dimensional reconstruction. Finally, points out the problems requiring attention is realized in Matlab. )

拉普拉斯变换的源代码，适合做图像处理及其他使用，有启发作用。(Laplace transform of the source code, suitable for image processing and other use, stimulating.)

说明：  快速磁共振成像领域的GRAPPA（generalized auto-calibrating partially parallel acquisitions）算法实现(GRAPPA realization in fast MRI)

说明：  将已知的灰度图像逆时针旋转60度，矩阵运算，图像旋转(Rotate the known grayscale image 60 degrees counterclockwise, matrix operation, image rotation)