ObjectDetect

利用四参数随机生成法生成三维多孔介质，以研究黏土、页岩等的微观流动机制(Using QSGS to construct 3D porous media)

数字图像处理，包括图像的卷积，相关，线性滤波处理，边缘检测都是运用labview来完成的。(Digital image processing, including images, linear convolution, filter, edge detection is accomplished using labview)

讲解滤波与二值图像处理，比较简单的图像处理源码(Explain the filtering and binary image processing, image processing source code is relatively simple)

混合高斯模型提取视频帧前景背景图像，经试验验证准确率比较高(Mixed gaussian model to extract video frame prospects background image)

说明：  边缘检测是图像处理和计算机视觉中的基本问题，边缘检测的目的是标识数字图像中亮度变化明显的点。图像属性中的显著变化通常反映了属性的重要事件和变化。这些包括（i）深度上的不连续、（ii）表面方向不连续、（iii）物质属性变化和（iv）场景照明变化。边缘检测是图像处理和计算机视觉中，尤其是特征提取中的一个研究领域。 一阶:?Roberts Cross算子，Prewitt算子，Sobel算子， Kirsch算子，罗盘算子； 二阶： Marr-Hildreth，在梯度方向的二阶导数过零点，Canny算子，Laplacian算子。(Edge detection is a basic problem in image processing and computer vision. Significant changes in image attributes usually reflect significant events and changes in attributes. These include (I) discontinuities in depth, (ii) discontinuities in surface orientation, (iii) changes in material properties, and (iv) changes in scene lighting. Edge detection is a research field in image processing and computer vision, especially in feature extraction.)

图像压缩经典EZW算法 可提初学者学习参考使用(image compression EZW)

图像重采样，根据新旧图像像元大小的比例进行图像的重采样，(This function resamples the images at the new grid points defined by the new pixel sizes. It assumes that intensities are defined at the pixel centers)

这是bregman迭代的小例子，看完之后对图像处理的优化帮助很大，你可以掌握其中的优化算法，很好，很实用(This is the iterative Bregman small example, after reading on the optimization of image processing helps a lot, you can grasp optimization algorithm, which is very good, very practical.)

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)

Video processing and coding algorithms