NDLI: Cell Segmentation Using Ellipse Curve Segmentation and Classification

Content Provider	IEEE Xplore Digital Library
Author	Xiaomin Li Yuanyuan Wang Yinhui Deng Jinhua Yu
Copyright Year	2009
Abstract	Cell segmentation from microscopic images is the first stage of the automatic biomedical image processing, which plays a crucial role in the study of cell behavior and cell structure. In this paper, a novel approach is proposed to segment cells which are characterized as elliptical objects. Cell segmentation is implemented using an ellipse detection algorithm based on ellipse curve segmentation and classification. In the method, the image preprocessing is firstly applied to extract object edges from the microscopic image. Then the curvature-based curve searching is proposed to segment edges into different curves followed by the process of curve's under-segmentation and the process of curve's over-segmentation. Finally, curve classification and ellipse fitting are used to obtain object cells. Experiment results demonstrated the effectivity of the proposed method.
Starting Page	1187
Ending Page	1190
File Size	984676
Page Count	4
File Format	PDF
ISBN	9781424449095
e-ISBN	9781424457281
DOI	10.1109/ICISE.2009.381
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Image edge detection Microscopy Data preprocessing Clustering algorithms Object detection Curve fitting Detection algorithms Pixel Biomedical engineering
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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