TP2

图像修复中基于一幅图像的改进的Criminisi方法的近，算法的时间大大提高，修改效果也不错。(Time based on the improved image Criminisi near algorithm greatly improve image repair, modify the effect is also good.)

使用C++和CUDA编写的双边滤波器。在平滑图像的同时可以保持边界(Using bilateral filter the C++ and CUDA written. Boundary can be kept in the smooth image while)

采用了光流法实现了目标跟踪与分割，用于高精度仿真与模拟(Optical flow method to achieve the target tracking and segmentation for high-precision simulation and modeling)

说明：  使用matlab中的nlfilter来进行邻域处理(Using nlfilter in MATLAB to process neighborhood)

三种改进的图像增强算法，包括改进的类拉普拉斯增强算法，混合式MSRCR彩色图像增强算法，区域自适应反锐化掩模图像增强算法。(Three improved image enhancement algorithms, including improved classes, Laplace enhancement algorithms, the hybrid MSRCR Color Image Enhancement algorithm, region adaptive unsharp mask image enhancement algorithms)

matlab6.5图形图像处理源程序 部分内容 第二章压缩包 (matlab6.5 )

SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。 采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。 (SURF（Speeded Up Robust Features） as a method of feature extraction which newly appeared is over or nearly previous method on duplication, uniqueness, and robustness and have a clear advantage on computational efficiency. This code uses the SURF and coordinate transformation algorithm to detect image and image matching. This code uses the SURF algorithm of image detection, the main is to use the Hessian matrix of image for testing, to find the image after image feature extraction of feature points. After we used Nearest Neighbor (NN), Random Sample Consensus (RANSAC) algorithm and least square parameter optimization for purification of matching feature points. Coordinate transformation in the last two images, to coordinate system to achieve the same image stitching. )

说明：  一个pcnn方面的程序，比较原始，但是效果好(A PCNN procedures, more original, but effective)

这是一个简单的掌纹识别系统，运用了PCA算法，可以做到较快的运算。(This is a simple palmprint recognition system that uses the PCA algorithm to achieve faster calculations.)

说明：  基于fft的数字图像处理MATLAB实现(Fft based on MATLAB for digital image processing to achieve)