Image structure detection by multi-scale rank order filter
Interest point detection is a technology in computer visions which related to detection of interest points for successive processing. Interest point detection is separated into corner detection and blob detections. In the past, both detectors overlap each other when they are used in application. Tod...
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sg-ntu-dr.10356-500532023-07-07T16:54:24Z Image structure detection by multi-scale rank order filter Goh, Ruitian. Jiang Xudong School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Interest point detection is a technology in computer visions which related to detection of interest points for successive processing. Interest point detection is separated into corner detection and blob detections. In the past, both detectors overlap each other when they are used in application. Today, interest point detectors are widely used in applications such as neurobiology, signal and image processing and mathematics. Bachelor of Engineering 2012-05-29T06:15:12Z 2012-05-29T06:15:12Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/50053 en Nanyang Technological University 60 p. application/pdf |
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Interest point detection is a technology in computer visions which related to detection of interest points for successive processing. Interest point detection is separated into corner detection and blob detections. In the past, both detectors overlap each other when they are used in application. Today, interest point detectors are widely used in applications such as neurobiology, signal and image processing and mathematics. |
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Jiang Xudong |
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Jiang Xudong Goh, Ruitian. |
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Final Year Project |
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Goh, Ruitian. |
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Goh, Ruitian. |
title |
Image structure detection by multi-scale rank order filter |
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Image structure detection by multi-scale rank order filter |
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Image structure detection by multi-scale rank order filter |
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Image structure detection by multi-scale rank order filter |
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Image structure detection by multi-scale rank order filter |
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image structure detection by multi-scale rank order filter |
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2012 |
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http://hdl.handle.net/10356/50053 |
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1772826944121864192 |