layerstacking_ding

opencv图像库函数集，有关最新的opencv新增函数的应用(opencv functions)

本程序和实现对一幅包含人脸的bmp图像进行光纤补偿，对人脸区域进行检测实现人眼和人嘴的检测与定位，最后勾绘出人脸的特征以实现人脸检测的目的。(This procedure and implementation of a compensate the fiber contains face of BMP image, the face region detection to realize human eyes and mouth detection and positioning, finally drew out the facial features to achieve the purpose of face detection. )

说明：  讲述PS技术的抠图经典问题，帮助你快速熟悉抠图的精华！(PS about the classic problem of technology, matting, matting to help you quickly familiar with the essence!)

在自动化生产线VC开发的运动控制机器视觉程序，XYZ三个轴有PCI板卡控制，视频卡采集图像后经算法处理找到图像的点，VC控制步进电机到加胶位置加胶，在机器上运行每日点胶100000次无故障(VC development in automated production lines motion control machine vision program, XYZ three-axis control with a PCI card, video card capture images after processing algorithm to find the image of the point, VC controlled stepper motor to position plus plus glue glue on the machine run the daily dispensing 100,000 times without failure)

利用位图图像中的冗余数据位，将小文件嵌入到大的图像文件中，并保持原图像不变。(The use of bitmap images in the redundant data bit will be embedded in small files to large image files, and to maintain the original image unchanged.)

对图像进行旋转和缩放的源代码,支持原图像的抽样处理及任意角度的旋转(The image rotation and scaling in any direction)

说明：  图片自适应二值化处理，二值化处理使用简单方便。(Adaptive binarization image processing, binary processing easy to use.)

这个源代码是用来实现图形之间的基本运算的，包括求交集、并集、差集等等。而且图形的形状也可以任意选择，可以是圆、线段、点、多边形等等。(the source code is used to achieve the basic graphics operations, including for intersection and set difference, and so on. The shape and graphics can choose freely, it can be won, segment, points, polygons, and so on.)

这是我研究生期间，用QM Coder做图像和图片压缩的源代码。希望能帮助大家(This is the QM Coder for video/image compression. Hopefully, it will be useful for you. )

视频演示算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 (Algorithm for video presentation include: 1. Static background background prediction target detection 2. Static background frame difference method for target detection 3. Mean Shift tracking method 4. Gravity multi-target tracking method)