jiaoyanyuantuzhugechuli

改进的otsu算法，计算局部otsu的值确定局部小区域。对于光照不均匀图像处理有比较好的适应( Improved otsu algorithm to calculate the value of the local otsu determine the local small area. For uneven illumination image processing has a relatively good adaptation)

说明：  基于小波分析的故障检测的matlab程序 已经使用过 可放心使用(Matlab program of fault detection based on wavelet analysis has been used safely)

EKF2.0 利用扩展卡尔曼滤波器实现的SLAM算法，Matlab版本，是一个模拟的程序。运行方法为先载入mat，再运行XXX_sim函数。(EKF2.0 using the extended Kalman filter SLAM algorithm, Matlab version, is a simulation program. The method of operation for the first load the mat, run XXX_sim function.)

相关图像算法包括大律法分割，梯度分割，分水岭分割，活动轮廓，最小生成树，相关基因算法(Great Law Segmentation, Gradient Segmentation, Watershed Segmentation, Active Contour, Minimum Spanning Tree, Related Gene Algorithms)

提出了一种针对复杂环境下的过人脸检测方法，首先在CbCgCr空间利用直接最小二乘法构建了对光照和复杂背景鲁棒性更好肤色聚类模型，实现了准确的肤色检测；然后针对人脸中姿态和表情变化，提出了基于Adaboost的多姿态人脸检测，精确的实现了人脸检测定位。(Extraordinary face detection method for complex environments, the first space CbCgCr ​ ​ direct least squares method to build a better robustness to light and complex background color clustering model to achieve accurate color detection forface, posture and facial expression changes, proposed the multi-pose face detection based on Adaboost, accurate face detection and location. )

关于图像配准中的交叉相关的实现，可以直接调用。(About Image Registration in the implementation of cross-correlation can be directly called.)

本件包含四种二维高通滤波器，他们分别是基于汉宁窗，布莱克曼，凯泽窗和巴特利特窗设计的二维高通滤波器。(This piece contains four two-dimensional high-pass filter, they are based on Hanning, Blackman, Kaiser window design windows and Bartlett two-dimensional high-pass filter.)

通过高通滤波器实现对图像的锐化处理，能去除不需要的模糊轮廓而加强边缘的对比度。(Image sharpening to achieve through a high-pass filter, and enhance the contrast edges blurred outline can remove unwanted.)

老外写的程序，可对三角形进行渲染，有详细的算法介绍。非常棒(A good Triangle Renderer Project，with detailed introduction.)

基于梯度相似度的图像质量评价方法，发表在2012年TIP国际期刊上(A. Liu, W. Lin, M. Narwaria, “Image Quality Assessment Based on Gradient Similarity,” IEEE Transactions on Image Processing, vol. 21(4), pp. 1500-1512, 2012.)