QQ客服 官方微博 反馈留言

	SUPERCUT: An accurate and effective interactive image segmentation algorithm
	Zhu, Qingsong; Shao, Ling; Song, Zhan; Xie, Yaoqin
	2013
会议名称	2013 20th IEEE International Conference on Image Processing, ICIP 2013
会议地点	Melbourne, VIC, Australia
英文摘要	The task of interactive image segmentation has attracted a significant attention in recent years. The ultimate goal is to extract an object with as few user interactions as possible. In this paper, we present SUPERCUT, a novel interactive algorithm for foreground object extraction and segmentation in images. In the algorithm, the mean shift algorithm with a boundary confidence prior is introduced to efficiently pre-segment the original image into super-pixels with precise boundary. Secondly, a Bayes decision theory is introduced to model and cluster the super-pixels so as to obtain an initial effective classification of super-pixels. To achieve a more accurate object segmentation result, a boundary refinement using Interactive rectangle box with GMM learning is adopted. Experimental results on a benchmark data set show that the proposed framework is highly effective and can accurately segment a wide variety of natural images with ease.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/5005]
专题	深圳先进技术研究院_医工所
作者单位	2013
推荐引用方式 GB/T 7714	Zhu, Qingsong,Shao, Ling,Song, Zhan,et al. SUPERCUT: An accurate and effective interactive image segmentation algorithm[C]. 见:2013 20th IEEE International Conference on Image Processing, ICIP 2013. Melbourne, VIC, Australia.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。