闲来无事,利用Opencv3和MFC做了一个活动轮廓模型的界面,里面包括了著名的CV,RSF,DRLSE,LIF,LRCV,LGDF模型等等,还有一些改进模型。关于活动轮廓模型(Active Contour Model)和水平集方法(Level Set Method),不多介绍了,是一种热门的图像分割算法,网上找到的代码基本上都是基于matlab的,运行效率很低。我用Opencv对一些比较有名的ACM算法进行了C++语言的改写,花了好多天,终于基本上完成了这个界面,效果挺不错,速度比matlab快很多很多。
下载地址:https://download.youkuaiyun.com/download/dingkeyanlail/10314178
- CV - “Chan, Active contours without edges”
- RSF - “Li, Minimization of region-scalable fitting energy for image segmentation”
- LIF - “Zhang, Active contours driven by local image fitting energy”
- LRCV - “Liu, A local region-based Chan–Vese model for image segmentation”
- LGDF - “Wang, Active contours driven by local Gaussian distribution fitting energy”
- LGIF - “Wang, Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation”
- DRLSE - “LI, Distance Regularized Level Set Evolution and Its Application to Image Segmentation”
- Syntropic fitting- “Ding, A Simple Method to improve Initialization Robustness for Active Contours driven by Local Region Fitting Energy “ arXiv:1802.10437
- Pre-fitting - “Ding, Active Contours driven by Local Pre-Fitting Energy for Fast Image Segmentation” Pattern Recognition Letters.Pattern Recognition Letters.