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5556
- 基于ＯｐｅｎＣＶ的车辆轮廓检测为了获得理想的车辆轮廓线，提出了一种基于开源计算机视觉库ＯｐｅｎＣＶ的轮廓检测新方法。首先对图像迸行形态 学去噪、平滑滤波处理和二值化阈值分割等预处理，获得二值化黑白图像。然后通过轮廓提取和跟踪检测到车辆外轮廓线。 在ＶＣ＋＋６．０环境下，利用Ｏｐｅｎｅｒ编程实现了此方法。-Proposed a new method of contour detection based on open source computer vision library OpenCV Op
FindMoving
- 由运动目标检测的两种基本方法----帧间差分法和背景差分法,借助于OpenCV技术，在Visual C++ 6.0编程环境下开发了运动目标检测系统。该系统首先对不同途径采集的视频图像序列进行相关的预处理之后，分别采用不同检测算法检测出图像序列中的变化区域，最后用形态学滤波和连通性分析对变化区域进行后处理，从而将视频图像序列中的运动目标比较可靠地检测出来。-The two basic methods of moving target detection---- inter-frame diffe
annoiying-clustering
- 比较实用的conjugate方法编程，希望对大家有用，能够快速的解决科学计算问题，方便大家下载-application to the world in the programming
super-resolution
- 通过Matlab与Java混合编程的超分辨率处理的源代码，采用插值的方法，能较好地实现超分辨率处理。-A method of super-resolution by interpolation witch can solve a image.
OpenCV+3计算机视觉++Python语言实现+第二版
- 基于Python编程语言的opencv，介绍图像变换方法。(Based on the Python programming language opencv, introduced the image transform method.)
4遍历图像像素的14种方法
- 编程环境：VS+OPENCV ，对于初学者学习基于opencv的图像处理非常有帮助，此节点主要是遍历像素点的一些方法。(Programming environment: VS + OPENCV, for beginners to learn based on opencv image processing is very helpful, this node is mainly traversing the pixel some of the methods.)
3用动态地址计算配合at访问像素
- 编程环境：VS+OPENCV ，对于初学者学习基于opencv的图像处理非常有帮助，此节点主要是用at访问像素点的一些方法。(Programming environment: VS + OPENCV, for beginners to learn based on opencv image processing is very helpful, this node is mainly used to access some of the pixels point method.)
2用迭代器访问像素
- 编程环境：VS+OPENCV ，对于初学者学习基于opencv的图像处理非常有帮助，此节点主要是用迭代器访问像素点的一些方法。(Programming environment: VS + OPENCV, for beginners to learn based on opencv image processing is very helpful, this node is mainly used to access the pixel iterator some of the methods.)
1用指针访问像素
- 编程环境：VS+OPENCV ，对于初学者学习基于opencv的图像处理非常有帮助，此节点主要是用指针访问像素点的一些方法。(Programming environment: VS + OPENCV, for beginners to learn based on opencv image processing is very helpful, this node is mainly used to access some of the pixels of the pointer method.