Gesture image segmentation with Otsu’s method based on noise adaptive angle threshold-Reference-Cited by-同舟云学术

Gesture image segmentation with Otsu’s method based on noise adaptive angle threshold

Published:2020-01-14 Issue:47-48 Volume:79 Page:35619-35640
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Xiao Leyi,Ouyang Honglin,Fan Chaodong,Umer Tariq,Poonia Ramesh Chandra,Wan Shaohua^ORCID

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-019-08544-7.pdf

Reference23 articles.

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3. Eman T, Fatimah K, Puteri SS, Razali Y (2018) Fast marching method and modified features fusion in enhanced dynamic hand gesture segmentation and detection method under complicated background. J Ambient Intell Humaniz Comput 9:755–769

4. Fan JL, Zhao F (2007) Two-dimensional Otsu’s curve thresholding segmentation method for gray-level images. Acta Electron Sin 35(4):751–755

5. Fan CD, Zhang YJ, Ouyang HL et al (2014) Improved Otsu’s method based on histogram oblique segmentation for segmentation of rotary kiln flame image. Acta Automat Sin 40(11):2480–2489

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