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

• 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

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...