Active contour model-based segmentation algorithm for medical robots recognition

doi:10.1007/s11042-017-4529-9

	Active contour model-based segmentation algorithm for medical robots recognition
	Li, Yujie 1,3; Li, Yun 2; Kim, Hyoungseop 4; Serikawa, Seiichi 5
刊名	MULTIMEDIA TOOLS AND APPLICATIONS
	2018-05-01
卷号	77 期号:9 页码:10485-10500
关键词	Active Contour Model Granularity Detection Cancer Cell Recognition
ISSN号	1380-7501
DOI	10.1007/s11042-017-4529-9
文献子类	Article
英文摘要	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.
WOS关键词	IMAGE SEGMENTATION ; FITTING ENERGY
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000431889900007
资助机构	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)
内容类型	期刊论文
源URL	[http://ir.qibebt.ac.cn/handle/337004/11479]
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.