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2013 | OriginalPaper | Buchkapitel

14. Fusion of Gray and Grads Invariant Moments for Feather Quill Crease Recognition

verfasst von : Hongwei Yue, Renhuang Wang, Jinghua Zhang, Zuihong He

Erschienen in: Proceedings of 2013 Chinese Intelligent Automation Conference

Verlag: Springer Berlin Heidelberg

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Abstract

In order to overcome the non-crease misjudgment of feather quill, a novel decision fusion algorithm is proposed. An improved Radon transformation is used to extract moment invariants of gray and grads dual-mode of target region and singular value decomposition is provided here to obtain feature vectors, respectively; then creases recognition is performed according to feature vectors of the dual-mode. Finally, the final recognition result of the system is achieved by the fusion of recognition results of the dual-mode at the decision level. Experimental results show that this new method can overcome the limitations of single-modal and reduce the misjudgment of non-crease effectively.

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Metadaten
Titel
Fusion of Gray and Grads Invariant Moments for Feather Quill Crease Recognition
verfasst von
Hongwei Yue
Renhuang Wang
Jinghua Zhang
Zuihong He
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-38466-0_14

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