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A semi-automatic method for robust and efficient identification of neighboring muscle cells
Wang ZZ(王振洲)
作者部门机器人学研究室
关键词Segmentation Threshold Selection Morphological Erosion Morphological Dilation Muscle Cell/fiber
发表期刊Pattern Recognition
ISSN0031-3203
2016
卷号53页码:300-312
收录类别SCI ; EI
EI收录号20160201794688
WOS记录号WOS:000370885700023
产权排序1
摘要Segmentation and identification of muscle cells robustly and efficiently is of considerable importance in determining the muscle's physiological conditions. It is challenging due to frequently occurring artifacts, indistinct boundary between adjacent cells, the arbitrary shape and large number of cells. Currently, the widely used segmentation and quantification tools are usually manual or semi-automatic, which is time-consuming and labor intensive. In this paper, a semi-automatic method is proposed to segment the muscle cells robustly and efficiently. The proposed approach utilizes and evolves three fundamental image processing techniques, threshold selection, morphological ultimate erosion and morphological dilation. Experimental results verified the effectiveness of the proposed method.
语种英语
WOS标题词Science & Technology ; Technology
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
关键词[WOS]RESTRICTED EQUIVALENCE FUNCTIONS ; IMAGE SEGMENTATION ; FUZZY-SETS ; AUTOMATED SEGMENTATION ; MEMBERSHIP FUNCTIONS ; SELECTION METHOD ; FIBER IMAGES ; MICROSCOPY ; RECOGNITION ; CONTOURS
WOS研究方向Computer Science ; Engineering
引用统计
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/17616
专题机器人学研究室
通讯作者Wang ZZ(王振洲)
作者单位State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science(CAS), Shenyang, China
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Wang ZZ. A semi-automatic method for robust and efficient identification of neighboring muscle cells[J]. Pattern Recognition,2016,53:300-312.
APA Wang ZZ.(2016).A semi-automatic method for robust and efficient identification of neighboring muscle cells.Pattern Recognition,53,300-312.
MLA Wang ZZ."A semi-automatic method for robust and efficient identification of neighboring muscle cells".Pattern Recognition 53(2016):300-312.
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