计算机工程与应用2017，Vol.53Issue(1)：163-167,177,6.DOI:10.3778/j.issn.1002-8331.1503-0373
基于分形的改进Grabcut目标自动分割
Automatic target segmentation by improved Grabcut based on fractal
陈骏 1刘晓利1
作者信息
- 1. 南京理工大学 瞬态物理国家重点实验室，南京 210094
- 折叠
摘要
Abstract
In view of the disadvantages of traditional Grabcut algorithm rely on human interaction with low efficiency in segmentation, an improved Grabcut algorithm based on the fast differential box-counting method is proposed. It can segment the artificial targets under the complex natural background autonomously. The contour of the artificial targets is detected through fast differential box-counting method, then the initial rectangle and the parameters of Gaussian Mixture Model needed in the Grabcut can be obtained. Utilizing the min cut method to segment the pixels of image, and the target is segmented by energy minimization through several iterations. Experimental results show that the proposed algorithm can segment the artificial target relatively complete under the complex natural background, and can reserve the target’s original information sufficiently.关键词
图像分割/目标检测/Grabcut算法/人工目标/微分计盒算法/图割Key words
image segmentation/target detection/Grabcut algorithin/artificial target/differential box-counting/graph cut分类
信息技术与安全科学引用本文复制引用
陈骏,刘晓利..基于分形的改进Grabcut目标自动分割[J].计算机工程与应用,2017,53(1):163-167,177,6.
