Mammogram Enhancement Using Intuitionistic Fuzzy Sets

doi:10.1109/TBME.2016.2624306

CORC > 武汉物理与数学研究所 > 中国科学院武汉物理与数学研究所 > 磁共振应用研究部

	Mammogram Enhancement Using Intuitionistic Fuzzy Sets
	Sun, Xianping 1; Liu, Maili 1; Ye, Chaohui 1; Zhou, Xin 1; Deng, Wankai 2; Deng, He 1
刊名	IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
	2017-08-01
卷号	64 期号:8 页码:1803-1814
关键词	Image Enhancement Intuitionistic Fuzzy Sets (Fss) Mammogram
DOI	10.1109/TBME.2016.2624306
文献子类	Article
英文摘要	Objective: Conventional mammogram enhancement methods use transform-domain filtering, which possibly produce some artifacts or not well highlight all local details in images. This paper presents a new enhancement method based on intuitionistic fuzzy sets. Methods: The presented algorithm initially separates a mammogram via a global threshold and then fuzzifies the image utilizing the intuitionistic fuzzy membership function that adopts restricted equivalence functions. After that, the presented scheme hyperbolizes membership degrees of foreground and background areas, defuzzifies the fuzzy plane, and achieves a filtered image via normalization. Finally, an enhanced mammogram is obtained by fusing the original image with filtered one. These implementations can be processed in parallel. Results: This algorithm can improve the contrast and visual quality of regions of interest. Conclusion: Real data experiments demonstrate that our method has better performance regarding the improvement of contrast and visual quality of abnormalities in mammograms (such as masses and/or microcalcifications), compared with classical baseline methods. Significance: This algorithm has potential for understanding and determining abnormalities.
WOS关键词	CONTRAST ENHANCEMENT ; IMAGE-ENHANCEMENT ; DIGITAL MAMMOGRAPHY ; COMPONENT ANALYSIS ; UNSHARP MASKING ; MASS DETECTION ; SEGMENTATION ; STATISTICS ; ALGORITHM ; CANCER
WOS研究方向	Engineering
语种	英语
WOS记录号	WOS:000405675000015
资助机构	Natural Science Foundation of China(81227902 ; Natural Science Foundation of China(81227902 ; National Program for Support of Eminent Professionals (National Program for Support of Top-Notch Young Professionals) ; National Program for Support of Eminent Professionals (National Program for Support of Top-Notch Young Professionals) ; 61471355) ; 61471355) ; Natural Science Foundation of China(81227902 ; Natural Science Foundation of China(81227902 ; National Program for Support of Eminent Professionals (National Program for Support of Top-Notch Young Professionals) ; National Program for Support of Eminent Professionals (National Program for Support of Top-Notch Young Professionals) ; 61471355) ; 61471355)
内容类型	期刊论文
源URL	[http://ir.wipm.ac.cn/handle/112942/11456]
专题	武汉物理与数学研究所_磁共振应用研究部
作者单位	1.Chinese Acad Sci, Wuhan Inst Phys & Math, State Key Lab Magnet Resonance & Atom & Mol Phys, Key Lab Magnet Resonance Biol Syst,Natl Ctr Magne, Wuhan 430071, Peoples R China 2.Hubei Canc Hosp, Dept Head & Neck & Neurosurg, Wuhan, Peoples R China
推荐引用方式 GB/T 7714	Sun, Xianping,Liu, Maili,Ye, Chaohui,et al. Mammogram Enhancement Using Intuitionistic Fuzzy Sets[J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,2017,64(8):1803-1814.
APA	Sun, Xianping,Liu, Maili,Ye, Chaohui,Zhou, Xin,Deng, Wankai,&Deng, He.(2017).Mammogram Enhancement Using Intuitionistic Fuzzy Sets.IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,64(8),1803-1814.
MLA	Sun, Xianping,et al."Mammogram Enhancement Using Intuitionistic Fuzzy Sets".IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 64.8(2017):1803-1814.