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基于OpenCV(开源计算机视觉平台)，对图像进行形态学开、闭、形态梯度等算法实现。程序运行前须安装（1）OpenCV: ttp://opencvlibrary.sourceforge.net （2）在vc6.0的Tools|Options|Directories标签下添加如下路径：C:\Program files\OpenCV\Cxcore\include
C:\Program files\OpenCV\include
C:\Program files\OpenCV\cvaux\inclu
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用OpenCV实现的Matlab中形态学细化、提取骨架、收缩算法。测试效果与Matlab相同。-Algorithms of morphological thinning,Skeleton and Shrink,ported from Matlab to OpenCV.
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opencv，C++图像处理，包括平移，缩放，旋转，形态学变换，灰度转换，阈值分割等操作，适用计算机视觉初学者。-opencv, C++ image processing, including translation, scaling, rotation, morphological transformation, grayscale conversion, segmentation, etc, for beginner computer vision.
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opencv下对图像形态的常用操作，可完成高级形态变换-opencv image under the commonly used form of operation, to be completed by the High Morphological Transformation
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对图像进行形态学处理的源代码，用opencv实现-Morphological image processing source code, using opencv implementation
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形态学处理程序，基于opencv，开发环境是vc6.0-Morphological processes, based on the opencv, development environment is vc6.0
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基于OPencvr开发环境的图像预处理算法。包括中值滤波，形态学滤波，二值化处理及图像背景校正。--Image Pre-processing algorithm based on OPENCV. Including median filtering, morphological filtering, binarization image processing and background correction.
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输入彩图，输出为形态学处理结果，使用VC++开发，基于opencv库函数。-Input color pictures, the results of morphological processing output, using VC++ development, based on opencv library functions.
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数字图像处理，opencv形态学运算，包括腐蚀膨胀，开闭运算。-Digital image processing the opencv morphological operations, including corrosion expansion, opening and closing operation.
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数字图像处理的形态学处理，响应菜单命令的腐蚀膨胀运算和开运算闭运算函数。
开发环境：vs2010+opencv。-Morphological processing digital image processing, response corrosion dilation of menu commands and open-op closing operation functions. Development Environment: vs2010+opencv.
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VS下利用opencv 实现形态学的相应变换，开运算，闭运算，形态梯度，顶帽，黑帽等。-VS use opencv achieve under the corresponding morphological transformation, opening operation, closing operation, morphological gradient, top hat, black hat and so on.
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目标检测首先利用统计的方法得到背景模型，并实时地对背景模型进行更新以适应光线变化和场景本身的变化，用形态学方法和检测连通域面积进行后处理，消除噪声和背景扰动带来的影响，在HSV色度空间下检测阴影，得到准确的运动目标。(object detectWe use statistical methods to obtain the background model, and real-time of the background model is updated to adapt to illumina
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