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	<title>हफ़ ट्रांसफॉर्म Archives &#8212; MATLAB Number ONE</title>
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		<title>Vehicle Lane Deviation Detection</title>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Tue, 03 Apr 2018 07:00:14 +0000</pubDate>
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					<description><![CDATA[<p>Lane deviation detection includes the functions of lane detection and stability determination. The algorithms contain two main parts, the edge detection and Hough Transform &#38; Hough peak detection. For each frame in the video, first set the area in the image for further image processing. Our team typically selected the lower area of each picture [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/vehicle-deviation-detection/">Vehicle Lane Deviation Detection</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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		<title>Cell counting by Hough transform and SVM classifier</title>
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					<comments>https://matlab1.com/shop/matlab-code/cell-counting-by-hough-transform-and-svm-classifier/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Mon, 02 Apr 2018 16:01:57 +0000</pubDate>
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					<description><![CDATA[<p>Analyzing liver cross-section images is a manual and laborious task, slowing down critical research toward finding alternative cures for patients with end-stage liver disease. In this project, we present methods to automatically count hepatocytes cells, count nuclei and classify liver vessel types, using input images of cell boundary and cell nuclei based on a dataset of 21 images. Compared to a [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/cell-counting-by-hough-transform-and-svm-classifier/">Cell counting by Hough transform and SVM classifier</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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