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Báo cáo sinh học: " A comparative study of some methods for color medical images segmentation"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: A comparative study of some methods for color medical images segmentation | EURASIP Journal on Advances in Signal Processing SpringerOpen0 This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text HTML versions will be made available soon. A comparative study of some methods for color medical images segmentation EURASIP Journal on Advances in Signal Processing 2011 2011 128 doi 10.1186 1687-6180-2011-128 Liana Stanescu stanescu@software.ucv.ro Dumitru Dan Burdescu dburdescu@software.ucv.ro Marius Brezovan mbrezovan@software.ucv.ro ISSN 1687-6180 Article type Research Submission date 15 May 2011 Acceptance date 9 December 2011 Publication date 9 December 2011 Article URL http asp.eurasipjournals.com content 2011 1 128 This peer-reviewed article was published immediately upon acceptance. It can be downloaded printed and distributed freely for any purposes see copyright notice below . For information about publishing your research in EURASIP Journal on Advances in Signal Processing go to http asp.eurasipjournals.com authors instructions For information about other SpringerOpen publications go to http www.springeropen.com 2011 Stanescu et al. licensee Springer. This is an open access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. A comparative study of some methods for color medical images segmentation Liana Stanescu Dumitru Dan Burdescu and Marius Brezovan Faculty of Automation Computers and Electronics University of Craiova 200440 Romania Corresponding author stanescu@software.ucv.ro Email addresses DDB dburdescu@software.ucv.ro MB mbrezovan@software.ucv.ro Abstract The aim of this article is to study the problem of color medical images segmentation. The images represent pathologies of the digestive tract such as ulcer polyps esophagites colitis or ulcerous tumors gathered with the help of an .