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	<title>Image Processing Archives &#8212; MATLAB Number ONE</title>
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	<description>MATLAB Simulink &#124; Tutorial &#124; Code &#124; Project</description>
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	<title>Image Processing Archives &#8212; MATLAB Number ONE</title>
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		<title>Image-based approach for detecting ICs on fully populated PCB</title>
		<link>https://matlab1.com/shop/matlab-code/image-based-approach-for-detecting-ics-on-fully-populated-pcb/</link>
					<comments>https://matlab1.com/shop/matlab-code/image-based-approach-for-detecting-ics-on-fully-populated-pcb/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Thu, 24 May 2018 13:31:42 +0000</pubDate>
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					<description><![CDATA[<p>This paper has presented an image-based approach for detecting ICs on fully populated PCBs. An image-processing architecture was proposed that leveraged a MAP detector and morphological filtering techniques to segment IC regions, a polygon detection heuristic to reconstruct the vertices of ICs, and a SIFT descriptor matching technique to identify IC part numbers. Design trade offs and implementation details at each stage [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/image-based-approach-for-detecting-ics-on-fully-populated-pcb/">Image-based approach for detecting ICs on fully populated PCB</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
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		<title>MATLAB code for Hovering Hummingbirds Image Analysis</title>
		<link>https://matlab1.com/shop/matlab-code/matlab-code-for-hovering-hummingbirds-image-analysis/</link>
					<comments>https://matlab1.com/shop/matlab-code/matlab-code-for-hovering-hummingbirds-image-analysis/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Mon, 21 May 2018 08:55:23 +0000</pubDate>
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					<description><![CDATA[<p>Hummingbirds are well equipped for hovering flight, and past studies have used image analysis to analyze the kinematics of their flapping motion [1], [2]. These studies had the benefit of using multiple cameras to pinpoint motion. In this project, video taken with a single camera view is analyzed through segmentation with the future goal of using this information for kinematic analysis of tail oscillation. [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/matlab-code-for-hovering-hummingbirds-image-analysis/">MATLAB code for Hovering Hummingbirds Image Analysis</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
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		<item>
		<title>Accurate and relative fast constellation detection</title>
		<link>https://matlab1.com/shop/matlab-code/accurate-and-relative-fast-constellation-detection/</link>
					<comments>https://matlab1.com/shop/matlab-code/accurate-and-relative-fast-constellation-detection/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Sat, 19 May 2018 11:58:06 +0000</pubDate>
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					<description><![CDATA[<p>Our algorithm successfully achieves accurate and relative fast constellation detection. Unlike regular template matching problems, constellations are scatter-based, so existing techniques such as SIFT detector or SURF detector cannot be applied. We build the database based on the information we need for constellation detection; then we apply the proposed algorithm to detect star patterns we are interested in. This enables the sky [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/accurate-and-relative-fast-constellation-detection/">Accurate and relative fast constellation detection</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
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		<title>Automated aerodynamic performance estimates for flapping flight</title>
		<link>https://matlab1.com/shop/matlab-code/automated-aerodynamic-performance-estimates-for-flapping-flight/</link>
					<comments>https://matlab1.com/shop/matlab-code/automated-aerodynamic-performance-estimates-for-flapping-flight/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Wed, 09 May 2018 13:17:43 +0000</pubDate>
				<guid isPermaLink="false">https://matlab1.com/?post_type=product&#038;p=5213</guid>

					<description><![CDATA[<p>Quantifying aerodynamic performance for freely flying birds is inherently difficult to do without interfering with their natural flight. Many current methods thus combine kinematic parameters derived from high-­speed video with theoretical force and power models. However, these methods often require manual tracking of points in each frame of a video to obtain kinematic data [1, 2]. This project utilizes image [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/automated-aerodynamic-performance-estimates-for-flapping-flight/">Automated aerodynamic performance estimates for flapping flight</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
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			</item>
		<item>
		<title>Analysis of pointillism art algorithm</title>
		<link>https://matlab1.com/shop/matlab-code/analysis-of-pointillism-art-algorithm/</link>
					<comments>https://matlab1.com/shop/matlab-code/analysis-of-pointillism-art-algorithm/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Wed, 09 May 2018 12:10:50 +0000</pubDate>
				<guid isPermaLink="false">https://matlab1.com/?post_type=product&#038;p=5200</guid>

					<description><![CDATA[<p>Pointillism is a branch of impressionism that can be dated back to the late 19th century. It is a painting technique that only uses tiny, distinct dots to form patterns of color. It enjoys a duality in being both discrete up close as dots and continuous from distance as patterns. Combining this artistic inspiration with the techniques of digital image [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/analysis-of-pointillism-art-algorithm/">Analysis of pointillism art algorithm</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
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		<item>
		<title>Python code for road sign recognition and traffic light information</title>
		<link>https://matlab1.com/shop/python-code/python-code-for-road-sign-recognition-and-traffic-light-information/</link>
					<comments>https://matlab1.com/shop/python-code/python-code-for-road-sign-recognition-and-traffic-light-information/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Fri, 06 Apr 2018 08:46:38 +0000</pubDate>
				<guid isPermaLink="false">https://matlab1.com/?post_type=product&#038;p=4766</guid>

					<description><![CDATA[<p>With increasing technology to improve driving security, surrounding camera is increasingly popular among recent models of family using vehicles. With abundant information collected by these cameras, there are few existing practices that automatically analyze and understand the content of the recording. By extracting information from the video, computer can better understand the driving condition and surrounding environment. The most common application is [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/python-code/python-code-for-road-sign-recognition-and-traffic-light-information/">Python code for road sign recognition and traffic light information</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
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			</item>
		<item>
		<title>Artistic Style Transfer MATLAB code</title>
		<link>https://matlab1.com/shop/matlab-code/artistic-style-transfer-matlab-code/</link>
					<comments>https://matlab1.com/shop/matlab-code/artistic-style-transfer-matlab-code/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Tue, 03 Apr 2018 14:51:48 +0000</pubDate>
				<guid isPermaLink="false">https://matlab1.com/?post_type=product&#038;p=4738</guid>

					<description><![CDATA[<p>We have shown that it is possible to achieve artistic style transfer within a pure image processing paradigm. This is in contrast to previous work that utilized deep neural networks to learn the difference between “style” and “content” in a painting.  We leverage the work by Kwatra et. al. on texture synthesis to accomplish “style synthesis” from our given [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/artistic-style-transfer-matlab-code/">Artistic Style Transfer MATLAB code</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
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		<item>
		<title>MATLAB Code of fingerprint classification by graph matching</title>
		<link>https://matlab1.com/shop/matlab-code/matlab-code-fingerprint-classification-graph-matching/</link>
					<comments>https://matlab1.com/shop/matlab-code/matlab-code-fingerprint-classification-graph-matching/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Sat, 20 Aug 2016 11:58:16 +0000</pubDate>
				<guid isPermaLink="false">https://matlab1.com/?post_type=product&#038;p=656</guid>

					<description><![CDATA[<p>Fingerprint classification is one of the important parts of fingerprint recognition. There are four classes for fingerprints ( Whorl , Arch , Right Loop , Left Loop). In this code, we classify fingerprint by graph matching. In this method, at first input image is passed through preprocessing, and then four directional images are obtained. Then [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/matlab-code-fingerprint-classification-graph-matching/">MATLAB Code of fingerprint classification by graph matching</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
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		<title>MATLAB Code of thesis (Investigate the use of machine vision technology in registry entry and exit of goods)</title>
		<link>https://matlab1.com/shop/matlab-code/matlab-code-thesis-investigate-use-machine-vision-technology-registry-entry-exit-goods/</link>
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		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Thu, 04 Aug 2016 13:39:02 +0000</pubDate>
				<guid isPermaLink="false">https://matlab1.com/?post_type=product&#038;p=596</guid>

					<description><![CDATA[<p>Faculty of Economics and Management Thesis for M.A Degree in MBA Management   Title: Investigate the use of machine vision technology in registry entry and exit of goods   Abstract The importance of warehousing and warehouse management and carelessness in warehousing is known to everybody and it is an important operational issue in the supply chain [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/matlab-code-thesis-investigate-use-machine-vision-technology-registry-entry-exit-goods/">MATLAB Code of thesis (Investigate the use of machine vision technology in registry entry and exit of goods)</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
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