LBP2

Visual Geometry Group项目组开发的超分辨率重建的源码，具有很好的效果。 附有详细的文档说明，可直接运行(a good super-resolution reconstruct source code developed by Visual Geometry Group, with detail description)

采用阻抗跟踪及模糊逻辑算法，实现锂电池包SOC及SOH精确估算。(Estimation of the SOC and SOH of Li-ion battery pack ,by empedence measure with fuzzy logic inference)

Pixel design for H-noise cal; imageJ platform ; test done

图像剪切后，转换为LAB和HSV颜色空间，计算每个颜色通道的颜色矩，最后将所有变量整合到一个矩阵中。(after image cropping, convert the image into LAB nd HSV color space, then computing the color moments of each channel. finally combine this variables into one matrix.)

基于压缩感知的图像重构算法啊，很适合用初学者的，本人就很受益(ist algorithm)

基于改进的F-S error diffusion算法对彩色图像位数降为8色。其中分配系数采用动态系数(Based on the F-S error diffusion algorithm to improve the color image figures down to 8 colors. The distribution coefficient by using the dynamic coefficient)

说明：  基于sift特征提取的图像配准的几个案例(Several cases of image registration based on SIFT feature extraction)

CT图像的平行束重建图像的重建算法，非常高(CT image parallel beam reconstruction image reconstruction algorithm, very high)

一个实用超声波滤波算法,大家可以参考一下,()

双目立体视觉，采用两张图像恢复三维形状，外国人的一个开源项目。(System Prototype to make 3D reconstruction solution using stereo images. It works with common cameras and not require large amount of memory during the images processing. It provides a low cost solution to educational environments with low budgets. )