The Development of a Machine Vision System to Measure the Shape of a Sweetpotato Root

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dc.contributor.advisor Dr Micheal D. Boyette, Committee Chair en_US
dc.contributor.advisor Dr. Larry F. Stikeleather, Committee Member en_US
dc.contributor.advisor Dr. M. K. Ramasubramanian, Committee Member en_US Mummert, Craig Nevin en_US 2010-04-02T18:03:41Z 2010-04-02T18:03:41Z 2005-02-21 en_US
dc.identifier.other etd-12292004-092135 en_US
dc.description.abstract The objective of this project was to develop and investigate whether a machine vision system can quantitatively describe the physical characteristics of a sweetpotato and then produce a unique number that is a more accurate descriptor of the root. Machine vision has been shown to accurately measure the size and shape of various agricultural commodities by mapping their surfaces. This map can then be used to describe the characteristics of the object. For this study a system was developed to rotate the root in front of a CCD imaging device that maps the entire surface of the sweetpotato. Algorithms were then developed to quantitatively measure, from this map, the length of the sweetpotato; the width of the sweetpotato; the ratio of length to width and how much the spine of the sweetpotato bends. These characteristics are then used to create a 10 digit numerical identifier that would uniquely describe each sweetpotato. The developed system was initially tested using five standard shaped objects. The system was shown to accurately measure both the length and width and produced straightness numbers that were indicative of the object being tested. 10 sweetpotatoes were then tested under the same procedure as the spheres. The results showed that the system could accurately measure the length and width for each sweetpotato within several millimeters. The system produced straightness numbers that were unique and reasonable for each sweetpotato. en_US
dc.rights I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. en_US
dc.subject L. en_US
dc.subject Ipomoeas batatas en_US
dc.title The Development of a Machine Vision System to Measure the Shape of a Sweetpotato Root en_US MS en_US thesis en_US Biological and Agricultural Engineering en_US

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