Colour image segmentation of tuberculosis bacilli in Ziehl-Neelsen-stained tissue images using moving k-mean clustering procedure

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Colour image segmentation of tuberculosis bacilli in Ziehl-Neelsen-stained tissue images using moving k-mean clustering procedure

Segmentation of tuberculosis bacilli in Zeihl-Neelsen tissue slide images is a crucial step in computerassisted tuberculosis bacilli detection. In this paper, an automatic colour image segmentation using moving k-mean clustering was proposed. First, initial filter is used to remove the tissues image...

書誌詳細
出版年:	AMS2010: Asia Modelling Symposium 2010 - 4th International Conference on Mathematical Modelling and Computer Simulation
第一著者:	Osman M.K.; Saad Z.; Mashor M.Y.; Jaafar H.
フォーマット:	Conference paper
言語:	English
出版事項:	2010
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955212658&doi=10.1109%2fAMS.2010.51&partnerID=40&md5=72d1225f9e3b11be52cc06aa2e40ad9d

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