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Blood cell image segmentation using hybrid K-means and median-cut algorithms

In blood cell image analysis, segmentation is crucial step in quantitative cytophotometry. Blood cell images have become particularly useful in medical diagnostics tools for cases involving blood. In this paper, we present a better approach on merging segmentation algorithms of K-means and Median-cu...

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書誌詳細
主要な著者:	T.Z.T., Muda,, R.A., Salam,
フォーマット:	Conference Paper
言語:	en_US
出版事項:	2015
主題:	Blood Cell Images Fuzzy c-means K-means Means-shift Median-cut Segmentation
オンライン･アクセス:	http://ddms.usim.edu.my/handle/123456789/9049
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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