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	<title>Tomographic Segmentation Archives &#8212; MATLAB Number ONE</title>
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	<title>Tomographic Segmentation Archives &#8212; MATLAB Number ONE</title>
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		<title>Tomographic Segmentation</title>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Sun, 29 Oct 2017 19:06:10 +0000</pubDate>
				<category><![CDATA[data mining]]></category>
		<category><![CDATA[Clustering-based methods]]></category>
		<category><![CDATA[Gaussian Mixture Models (GMM)]]></category>
		<category><![CDATA[Projection Distance Minimization (PDM)]]></category>
		<category><![CDATA[Tomographic Segmentation]]></category>
		<category><![CDATA[watershed segmentation]]></category>
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					<description><![CDATA[<p>Tomographic Segmentation To extract quantitative information from a tomographic reconstruction, it is often segmented first. Segmentation refers to the act of classifying image pixels into a few distinct classes based on a certain characteristic, typically their grey level. Practically speaking, it answers the question: &#8220;Which pixels of the reconstructed image belong to which structure?&#8221; Consider [&#8230;]</p>
<p>The post <a href="https://matlab1.com/tomographic-segmentation/">Tomographic Segmentation</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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