December 2014
Intermediate to advanced
640 pages
19h 7m
English
book
Emerging Trends in Image Processing, Computer Vision and Pattern Recognition
by Leonidas Deligiannidis, Hamid R Arabnia
Content preview from Emerging Trends in Image Processing, Computer Vision and Pattern Recognition
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Chapter 18
An algorithm for mobile vision-based localization of skewed nutrition labels that maximizes specificity
Vladimir Kulyukin1; Christopher Blay2 1 Department of Computer Science, Utah State University, Logan, UT, USA2 YouTube Corporation, San Bruno, CA, USA
Abstract
An algorithm is presented for mobile vision-based localization of skewed nutrition labels (NLs) on grocery packages that maximizes specificity, i.e., the percentage of true negative matches out of all possible negative matches. The algorithm works on frames captured from the smartphone camera’s video stream and localizes NLs skewed up to 35-40° in either direction from the vertical axis of the captured frame. The algorithm uses three image processing methods: edge detection, ...
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