Active contour model-based segmentation algorithm for medical robots recognition

doi:10.1007/s11042-017-4529-9

QIBEBT-IR

	Active contour model-based segmentation algorithm for medical robots recognition
	Li, Yujie 1,3; Li, Yun 2; Kim, Hyoungseop 4; Serikawa, Seiichi 5
	2018-05-01
发表期刊	MULTIMEDIA TOOLS AND APPLICATIONS
ISSN	1380-7501
卷号	77 期号:9 页码:10485-10500
摘要	In this paper, an identifying and classifying algorithm is proposed to solve the problem of recognizing objects accurately and effectively. First, via image preprocessing, initial images are obtained via denoising, smoothness, and image erosion. Then, we use granularity analysis and morphology methods to recognize the objects. For small objects identification and to analyze the objects, we calculate four characteristics of each cell: area, roundness, rectangle factor, and elongation. Finally, we segment the cells using the modified active contour method. In addition, we apply chromatic features to recognize the blood cancer cells. The algorithm is tested on multiple collected clinical cases of blood cell images. The results prove that the algorithm is valid and efficient when recognizing blood cancer cells and has relatively high accuracy rates for identification and classification. The experimental results also certificate the effectiveness of the proposed method for extracting precise, continuous edges with limited human intervention. especially for images with neighboring or overlapping blood cells. In addition, the results of the experiments show that this algorithm can accelerate the detection velocity.
文章类型	Article
关键词	Active Contour Model Granularity Detection Cancer Cell Recognition
WOS标题词	Science & Technology ; Technology
DOI	10.1007/s11042-017-4529-9
关键词[WOS]	IMAGE SEGMENTATION ; FITTING ENERGY
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
项目资助者	JSPS KAKENHI(15F15077) ; Leading Initiative for Excellent Young Researcher (LEADER) of Ministry of Education, Culture, Sports, Science and Technology-Japan(16809746) ; Research Fund of Chinese Academy of Sciences(MGE2015KG02) ; Research Fund of State Key Laboratory of Marine Geology in Tongji University(MGK1608) ; Research Fund of State Key Laboratory of Ocean Engineering in Shanghai Jiaotong University(1315 ; 1510)
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000431889900007
出版者	SPRINGER
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qibebt.ac.cn/handle/337004/11480
专题	中国科学院青岛生物能源与过程研究所
通讯作者	Li, Yujie
作者单位	1.Yangzhou Univ, Yangzhou, Jiangsu, Peoples R China 2.Yangzhou Univ, Sch Informat Engn, Yangzhou, Jiangsu, Peoples R China 3.Chinese Acad Sci, Qingdao, Peoples R China 4.Kyushu Inst Technol, Dept Control Engn, Kitakyushu, Fukuoka, Japan 5.Kyushu Inst Technol, Kitakyushu, Fukuoka, Japan
推荐引用方式 GB/T 7714	Li, Yujie,Li, Yun,Kim, Hyoungseop,et al. Active contour model-based segmentation algorithm for medical robots recognition[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2018,77(9):10485-10500.
APA	Li, Yujie,Li, Yun,Kim, Hyoungseop,&Serikawa, Seiichi.(2018).Active contour model-based segmentation algorithm for medical robots recognition.MULTIMEDIA TOOLS AND APPLICATIONS,77(9),10485-10500.
MLA	Li, Yujie,et al."Active contour model-based segmentation algorithm for medical robots recognition".MULTIMEDIA TOOLS AND APPLICATIONS 77.9(2018):10485-10500.