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	Ingenious snake: An Adaptive Multi-class Contours Extraction
	Baolin Li; Shoujun Zhou
	2018
会议日期	2018
会议地点	香港
英文摘要	Active contour model (ACM) plays an important role in computer vision and medical image application. The traditional ACMs were used to extract single-class of object contours. While, simultaneous extraction of multi-class of interesting contours (i.e., various contours with closed- or open-ended) have not been solved so far. Therefore, a novel ACM model named "Ingenious Snake" is proposed to adaptively extract these interesting contours. In the first place, the ridge-points are extracted based on the local phase measurement of gradient vector flow field; the consequential ridgelines initialization are automated with high speed. Secondly, the contours’ deformation and evolvement are implemented with the ingenious snake. In the experiments, the result from initialization, deformation and evolvement are compared with the existing methods. The quantitative evaluation of the structure extraction is satisfying with respect of effectiveness and accuracy.
URL标识	查看原文
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/14490]
专题	深圳先进技术研究院_医工所
推荐引用方式 GB/T 7714	Baolin Li,Shoujun Zhou. Ingenious snake: An Adaptive Multi-class Contours Extraction[C]. 见:. 香港. 2018.

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