Sequenced wave signal extraction and classification algorithm for duck egg crack on-line detection

Sequenced wave signal extraction and classification algorithm for duck egg crack on-line detection Computers and Electronics in Agriculture 142 (2017) 429–439 Contents lists available at ScienceDirect Computers and Electronics in Agriculture journal homepage: www.elsevier.com/locate/compag Original papers Sequenced wave signal extraction and classification algorithm for duck egg MARK crack on-line detection a b a a, Ke Sun , Long Ma , Leiqing Pan , Kang Tu College of Food Science and Technology, Nanjing Agricultural University, No. 1 Weigang Road, Nanjing 210095, PR China College of Food and Biological Engineering, Bengbu University, Bengbu, Anhui, PR China ARTICLE I NFO ABSTRACT Keywords: A method to detect the shell cracks in translucent images of duck eggs and salted duck eggs is presented. The Crack detection method consists of a sequenced wave signal extraction algorithm to extract the sequenced wave signals from the Sequenced wave signal extraction and translucent images of duck eggs. Furthermore, the characteristic parameters of the extracted sequenced wave classification algorithm signals are calculated and analyzed. The analysis results showed that, the sequenced wave signals extracted from On-line detection egg translucent images are caused by three factors: (i) egg cracks; (ii) air cell membrane of eggs; and (iii) shell Duck egg texture. The sequenced wave signals caused by egg air cell membrane and shell http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Computers and Electronics in Agriculture Elsevier

Sequenced wave signal extraction and classification algorithm for duck egg crack on-line detection

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier B.V.
ISSN
0168-1699
eISSN
1872-7107
D.O.I.
10.1016/j.compag.2017.09.034
Publisher site
See Article on Publisher Site

Abstract

Computers and Electronics in Agriculture 142 (2017) 429–439 Contents lists available at ScienceDirect Computers and Electronics in Agriculture journal homepage: www.elsevier.com/locate/compag Original papers Sequenced wave signal extraction and classification algorithm for duck egg MARK crack on-line detection a b a a, Ke Sun , Long Ma , Leiqing Pan , Kang Tu College of Food Science and Technology, Nanjing Agricultural University, No. 1 Weigang Road, Nanjing 210095, PR China College of Food and Biological Engineering, Bengbu University, Bengbu, Anhui, PR China ARTICLE I NFO ABSTRACT Keywords: A method to detect the shell cracks in translucent images of duck eggs and salted duck eggs is presented. The Crack detection method consists of a sequenced wave signal extraction algorithm to extract the sequenced wave signals from the Sequenced wave signal extraction and translucent images of duck eggs. Furthermore, the characteristic parameters of the extracted sequenced wave classification algorithm signals are calculated and analyzed. The analysis results showed that, the sequenced wave signals extracted from On-line detection egg translucent images are caused by three factors: (i) egg cracks; (ii) air cell membrane of eggs; and (iii) shell Duck egg texture. The sequenced wave signals caused by egg air cell membrane and shell

Journal

Computers and Electronics in AgricultureElsevier

Published: Nov 1, 2017

References

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