level-set-paper

粒子群算法的Pareto多目标函数优化，适用于多目标问题的寻优(Particle swarm optimization Pareto multi-objective function optimization, suitable for multi-objective optimization.)

Matlab程序，用于图像去噪声处理，特色是能够在去噪时保护图像边缘，是非线性滤波处理(Matlab program for the image to deal with noise, features that can protect the edge denoising is nonlinear filtering deal)

FDK的C++代码,对于图像重建的人来说有用的哦(FDK s C++ code for image reconstruction for people who useful )

机器视觉，贾云得编著，科学出版社出版，2000年版(Basic knowledge of machine vision)

说明：  查找图像的局部极大值，功能强大，速度快，精度高(Finding the local maximum of an image is powerful, fast and accurate.)

基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观 的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均 匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后 采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和 噪声）。(In this paper, we propose a novel method for solv- ing single-image super-resolution problems. Given a low-resolution image as input, we recover its high- resolution counterpart using a set of training exam- ples. While this formulation resembles other learning- based methods for super-resolution, our method has been inspired by recent manifold learning methods, par- ticularly locally linear embedding (LLE). Speci?cally, small image patches in the low- and high-resolution images form manifolds with similar local geometry in two distinct feature spaces. As in LLE, local geometry is characterized by how a feature vector correspond- ing to a patch can be reconstructed by its neighbors in the feature space. Besides using the training image pairs to estimate the high-resolution embedding, we also enforce local compatibility and smoothness con- straints between patches in the target high-resolution image through overlapping. Experiments show that our method is very ?exible )

利用jpda算法进行目标的跟踪仿真，给定目标的起始位置和运动速度，自动添加杂波，输出定位后结果(To utilize jpda algorithm for target tracking simulation, to the starting position and velocity of the target, and automatically add clutter, output positioning result)

下载别人的基于 AdaBoost 人脸检测源代码 供大家一起学习(Download others AdaBoost-based face detection source code for everyone to learn)

虹膜识别整个的程序源代码包括虹膜内外边界定位、虹膜特征提取等(Iris recognition throughout the program source code, including the inner and outer boundary positioning iris, iris feature extraction)

说明：  最二小乘影像匹配，精度可以达到0.01个像素，也可以最二小乘影像模板匹配。经过修改后可以直接用，只要调用一个函数就搞定，函数参数的说明很清楚，绝对不会有任何困难，非常好用。(Most two Theravada image matching accuracy can reach 0.01 pixel images can also be the most two Theravada template matching. After modifications can be directly used, as long as is you call a function, function parameters, the description is clear and will not have any difficulties, very easy to use.)