多阈值分割

本工程收集了多种常用条码的生成方法

自适应滤波器LMS算法包括SIMULINK模型及S函数的编写(LMS adaptive filter algorithm, including the preparation of the SIMULINK model and S function)

基于模板匹配的另一种人脸识别的算法，很实用，利用肤色建模来建立人脸皮肤模型(Another based on template matching algorithm for face recognition, very practical, using skin color modeling to create a human face skin model)

图片的旋转、截图、灰度、翻转、滤波、去噪等基本处理(Image rotation, screenshots, gray, flip, filtering, noise and other basic processing)

对图中微流道各个形状模块进行分割，并计算了微流道的宽度，还有入射光钎到接受光纤的距离。(The specific module is divided and the length and width are calculated.)

说明：  基于Online Learning for Matrix Factorization and Sparse Coding的在线字典学习算法，本压缩包为作者的源代码(The online dictionary learning based on the paper "Online Learning for Matrix Factorization and Sparse Coding". This compression package is the author's source code.)

说明：  基于matlab实现对将视频以帧为单位截取为图片，用背景差分法进行比对，实现对运动目标的检测。含代码，运算结果。(Based on MATLAB, the video is captured as a picture by frame, and compared with the background difference method to achieve the detection of moving objects. Including code and operation result.)

对输入图片进行LBP特征提取，并实现LBP特征可视化( U5BF9 u8F93 u5161 u5D3 u53D3 u53E0 )

说明：  对图像进行处理，直接在RGB图片上画直线，矩形，多边形，写字。(Image processing, including the pictures directly on the RGB lines, rectangles, polygons, write.)

智能算法实现图像分割，读取一张黑白图片进行阈值分割。(Intelligent algorithms for image segmentation, read a black and white image thresholding.)