标题:A fuzzy energy-based active contour model with adaptive contrast constraint for local segmentation
作者:Sun, Wenyan; Dong, Enqing; Qiao, Huijie
作者机构:[Sun, Wenyan; Dong, Enqing] Shandong Univ Weihai, Sch Mech Elect & Informat Engn, Weihai 264209, Peoples R China.; [Sun, Wenyan] Shandong Technol & 更多
通讯作者:Dong, Enqing
通讯作者地址:[Dong, EQ]Shandong Univ Weihai, Sch Mech Elect & Informat Engn, Weihai 264209, Peoples R China.
来源:SIGNAL IMAGE AND VIDEO PROCESSING
出版年:2018
卷:12
期:1
页码:91-98
DOI:10.1007/s11760-017-1134-3
关键词:Fuzzy clustering; Active contour; Local segmentation; Adaptive contrast; constraint
摘要:Image segmentation is to divide an image into different parts or extract some interested objects. Active contour model and fuzzy clustering are two widely used segmentation methods, which have been integrated into an effective model in recent years. Local segmentation is often needful in medical image processing. In view of local segmentation on inhomogeneous images, a new average fuzzy energy-based active contour model is proposed in this paper, in which the total fuzzy energy integrates the approximate weighted average and arithmetic average variances of the image. And an adaptive contrast constraint condition is introduced to prevent the curve from falling into local minimum, which further improves the robustness of the segmentation model to initial contour. Experimental results on synthetic and medical images demonstrate that the proposed model has considerable improvements in terms of segmentation accuracy and robustness compared to several existing local segmentation models.
收录类别:EI;SCIE
资源类型:期刊论文
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