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	<title>Kerry D. Wong &#187; Hough Transform</title>
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		<title>Image Blur Detection via Hough Transform &#8212; IV</title>
		<link>http://www.kerrywong.com/2009/07/03/image-blur-detection-via-hough-transform-iv/</link>
		<comments>http://www.kerrywong.com/2009/07/03/image-blur-detection-via-hough-transform-iv/#comments</comments>
		<pubDate>Sat, 04 Jul 2009 01:06:30 +0000</pubDate>
		<dc:creator>kwong</dc:creator>
				<category><![CDATA[Miscellaneous]]></category>
		<category><![CDATA[Algorithm]]></category>
		<category><![CDATA[Blur Detection]]></category>
		<category><![CDATA[C++]]></category>
		<category><![CDATA[Edge Detection]]></category>
		<category><![CDATA[Hough Transform]]></category>
		<category><![CDATA[Intel IPP]]></category>

		<guid isPermaLink="false">http://www.kerrywong.com/?p=1277</guid>
		<description><![CDATA[In my previous three articles (1,2,3) I discussed how to use Canny edge detection and Hough transform to identify blur images. Here I will show some results from the algorithm discussed before. Results When presented with images that are clear, the algorithm correctly identified most of them (see images below): The following images illustrate how [...]]]></description>
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		<slash:comments>14</slash:comments>
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		<title>Image Blur Detection via Hough Transform &#8212; III</title>
		<link>http://www.kerrywong.com/2009/06/27/image-blur-detection-via-hough-transform-iii/</link>
		<comments>http://www.kerrywong.com/2009/06/27/image-blur-detection-via-hough-transform-iii/#comments</comments>
		<pubDate>Sun, 28 Jun 2009 01:31:01 +0000</pubDate>
		<dc:creator>kwong</dc:creator>
				<category><![CDATA[Miscellaneous]]></category>
		<category><![CDATA[Algorithm]]></category>
		<category><![CDATA[Blur Detection]]></category>
		<category><![CDATA[C++]]></category>
		<category><![CDATA[Edge Detection]]></category>
		<category><![CDATA[Hough Transform]]></category>
		<category><![CDATA[Intel IPP]]></category>

		<guid isPermaLink="false">http://www.kerrywong.com/?p=1231</guid>
		<description><![CDATA[I will continue where I left off in my previous post. After performing Hough transform, and extracted the longest sections of lines for each corresponding Hough line detected, we will need to calculate the gradients of the image pixels luminance around the line sections. Gradient Calculation If you remember how the Hough parameters were determined [...]]]></description>
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		<slash:comments>1</slash:comments>
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		<title>Image Blur Detection via Hough Transform &#8212; II</title>
		<link>http://www.kerrywong.com/2009/06/24/image-blur-detection-via-hough-transform-ii/</link>
		<comments>http://www.kerrywong.com/2009/06/24/image-blur-detection-via-hough-transform-ii/#comments</comments>
		<pubDate>Thu, 25 Jun 2009 01:44:44 +0000</pubDate>
		<dc:creator>kwong</dc:creator>
				<category><![CDATA[Miscellaneous]]></category>
		<category><![CDATA[Algorithm]]></category>
		<category><![CDATA[Blur Detection]]></category>
		<category><![CDATA[C++]]></category>
		<category><![CDATA[Edge Detection]]></category>
		<category><![CDATA[Hough Transform]]></category>
		<category><![CDATA[Intel IPP]]></category>

		<guid isPermaLink="false">http://www.kerrywong.com/?p=1194</guid>
		<description><![CDATA[In my previous post, I briefly discussed the rationale behind automated blur detection in digital imagery and did an overview of an algorithm that could be used to detect blur images. Here I will show some implementation details along with some C++ code snippets. Experience tells us that blur images tend to contain less details [...]]]></description>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>Image Blur Detection via Hough Transform &#8212; I</title>
		<link>http://www.kerrywong.com/2009/06/19/image-blur-detection-via-hough-transform-i/</link>
		<comments>http://www.kerrywong.com/2009/06/19/image-blur-detection-via-hough-transform-i/#comments</comments>
		<pubDate>Sat, 20 Jun 2009 02:41:13 +0000</pubDate>
		<dc:creator>kwong</dc:creator>
				<category><![CDATA[Miscellaneous]]></category>
		<category><![CDATA[Algorithm]]></category>
		<category><![CDATA[Blur Detection]]></category>
		<category><![CDATA[C++]]></category>
		<category><![CDATA[Edge Detection]]></category>
		<category><![CDATA[Hough Transform]]></category>
		<category><![CDATA[Intel IPP]]></category>

		<guid isPermaLink="false">http://www.kerrywong.com/?p=1172</guid>
		<description><![CDATA[It is often necessary to identify and classify images based on their clarities. For instance, it is desirable for an automated process to locate blurred images within a large digitized image library and then automatically sharpen the blurred images via inverse filtering or blind deconvolution. In the following series of articles, I will discuss a [...]]]></description>
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		<slash:comments>3</slash:comments>
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