搜索资源列表
cmeans
- 用opencv实现了c均值,这对于模式识别类的应用有很大帮助-With opencv c-means, this class of pattern recognition applications
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
KmeansaFCM
- 在opencv环境下使用fuzzy c means和kmeans算法实现图片像素RGB值聚类,希望对大家有帮助-using fuzzy c means and k-means algorithm to realize the RGB image segmentation in opencv.
CPP-k-means
- 图像处理,C++环境下的k-means聚类算法,实现图像分割-Image processing, k-means clustering algorithm C++ environment, image segmentation
k
- 主要是K-Means算法的实现,可以直接执行,其中图片的载入用到opencv,其他均为C++源码。-Mainly K- Means algorithm implementation, which can be d directly, the images load use opencv, other are c++ source code.
354291
- An image abroad k-means clustering of the c + + source code, very easy to integrate and use
SLIC
- 超像素分割算法,基于K-means算法,自己写了一个方便优化,非常实用(Super pixel segmentation algorithm, very practical)