thin-plate-splines

深度学习相关代码实现，可以用来做去噪，去模糊，回归，识别等( Initialize and train an RBM energy-based model. Supports binary, Gaussian, and multinomial inputs (still in development). Supports binary and noisy rectified linear units (NReLU) in the hidden layer. Supports joint modeling of binary and multinomial variables for classification.)

这个是最成熟的人脸检测算法viola-jones的matlab版本实现，适合搞研究的同学们(a matlab implementation of the viola-jones face dection!)

形态学pathopenings的实现，对线特征提取等图像处理有令人惊奇的效果。(Morphological pathopenings the realization of the line feature extraction and other image processing have surprising effects.)

说明：  人脸识别提出的LBP特征计算程序，简单实用的特征，可以得到统计的直方图特征(LBP features of face recognition proposed by the calculation procedure, simple and practical features of the histogram statistics can be characteristic of)

结构光照明荧光显微镜数据稳定性检测程序，非常强大(Structured light illumination fluorescence microscopy data stability testing procedures, very strong)

检测前跟踪 粒子滤波 概率假设密度 高斯混合粒子 平滑(Pre-test tracking particle filter probability hypothesis density Gaussian mixture particle smoothing)

网页版物流跟踪，直接登录web服务器进行物流单号查询(Web version logistics tracking, logistics single query)

Camshift算法，即"Continuously Adaptive Mean-Shift"算法，是一种自适应的运动跟踪算法。它主要通过视频图像中运动物体的颜色信息来达到跟踪目的。(Camshift algorithm, namely " Continuously Adaptive Mean-Shift" algorithm is an adaptive motion tracking algorithm. It is primarily the color information of the object' s movement through the video images to achieve tracking purposes.)

介绍了粒子滤波目前主要应用领域, 最后对粒子滤波的发展提出了展望。(Describes the particle filter is currently the main application areas, and finally the development of particle filter raised prospects.)

首先通过多分辨率分解法提取高频边缘，然后分别对每层的高频边缘进行非线性插值得到新的高频边缘，接着对高频边缘进行高通滤波得到等强后的高频边缘，最后对增强后的高频边缘进行修正。再在对增强的图像进行对比度拉伸，从而达到增强的目的！(First of all, through the extraction of multi-resolution decomposition of high-frequency edge, and then were on the edge of each high-frequency non-linear interpolation to be the new high-frequency edge, and then the edge of the high-frequency high-pass filter to be strong, such as after the high-frequency edge, and finally on the brink of enhanced high-frequency be amended. Again in contrast enhanced image stretching, so as to achieve the purpose of enhancing!)