Damaged Red Dates Detection Based PCNN and GVF Snake Model

Na Yao; Gang Wu

doi:10.4028/www.scientific.net/AMM.543-547.1107

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Damaged Red Dates Detection Based PCNN and GVF...

Damaged Red Dates Detection Based PCNN and GVF Snake Model

Abstract:

According to the feature of moldy red dates, Pulse Coupled Neural Networks and Snake model are presented to detect damaged region of red dates so that the bad ones can be picked. Firstly, Pulse Coupled Neural Networks is used to segment red date images. Segmented images are binary images, in which wrinkled and decayed regions separate from other well regions. Then edge is detected using Pulse Coupled Neural Networks and this edge will be defined as initial contour of GVF Snake model. Finally, GVF Snake model is used to detect the decayed regions. Experiments show that this proposed method can extract decayed regions of red dates efficiently.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

1107-1110

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.1107

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Online since:

March 2014

Authors:

Na Yao*, Gang Wu

Keywords:

Detection, GVF Snake Model, PCNN, Red Dates

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* - Corresponding Author

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