双目摄像头显示笔记

人脸识别考勤系统

通过数字图像相关的方法计算两幅图像之间的位移，计算时间较长，是最基础的DIC，没有优化。(Digital image correlation method to calculate the displacement between the two images, the time is longer, is the most basic DIC, no optimization.)

利用最佳直方图熵法（KSW熵法）及穷举法实现灰度图像阈值分割(The best the histogram entropy method (KSW entropy method) and the brute-force method to achieve gray image threshold segmentation)

- 1、限幅滤波法（又称程序判断滤波法） 2、中位值滤波法 3、算术平均滤波法 4、递推平均滤波法（又称滑动平均滤波法） 5、中位值平均滤波法（又称防脉冲干扰平均滤波法） 6、限幅平均滤波法 7、一阶滞后滤波法 8、加权递推平均滤波法 9、消抖滤波法 10、限幅消抖滤波法 (- 1, limiting filtering method (also known as filtering method to determine the procedure) 2, the median filtering method 3, the arithmetic average filtering method 4, the average recursive filtering method (also known as the moving average filtering method) 5, with a median value of the average filter Act (also known as anti-pulse interference average filtering method) 6, limiting the average filtering method 7, the first order lag filtering method 8, the weighted average recursive filtering method 9, extinction Buffeting filtering method 10, limiting consumer Buffeting filtering method)

本程序，直接用MATLAB实现otsuf算法，并使用此算法对经典图像进行分割。(This procedure, directly with MATLAB to achieve otsuf algorithm, and use this algorithm to segment the classic image.)

几篇关于基于粒子滤波的检测前跟踪论文。中文英文都有。(Some papers are about PF-TBD， it is very useful in track before detected. )

注意：本程序中，每点击一次“增加亮度”，图像灰度提升16；每点击一次“降低亮度”，图像灰度降低16。(Note : This procedure, every click an "increase in brightness," gray upgrade 16; Click on each of a "lower brightness," gray lower 16.)

实现了立体匹配的SAD算法计算视差图，结果比较理想(Using the SAD algorithm to calculate the disparity map of stereo matching, the result is good.)

图像颜色特征的提取：HSV颜色直方图 描述的是图像的整体颜色情况。本程序采用非均匀量化方法得到36bin的颜色直方图。(Image Color Feature Extraction: HSV color histogram describes the situation of the image' s overall color. This procedure using non-uniform quantization method the color histogram 36bin.)

运用超像素分割算法对图像进行预分割，再利用dbscan聚类算法进行聚类最终实现图像分割。(The use of ultra-pixel segmentation algorithm for image pre-segmentation, reuse dbscan clustering algorithm to cluster the final image segmentation.)