Global Binary Patterns: A Novel Shape Descriptor

Date

2013-05-23

Author

Erdal, Sivri
Kalkan, Sinan

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In this paper, we propose a novel shape descriptor, called Global Binary Patterns (GBP), based on interpreting intensity values along a direction in an image as binary numbers, converting these binary numbers to their decimal values and concatenating these decimal values as the elements of a vector that is the GBP representation of the shape. Comparing with some widelyused state-of-the-art methods in the literature, we show that GBP is very fast and its performance on several widely-used databases is comparable or better.

URI

https://hdl.handle.net/11511/85394
http://kovan.ceng.metu.edu.tr/~sinan/publications/MVA13_Sivri.pdf
http://www.mva-org.jp/Proceedings/2013USB/papers/06-04.pdf

Conference Name

Int. IAPR Conference on Machine Vision and Applications, (20 - 23 Mayıs 2013)

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

S. Erdal and S. Kalkan, “Global Binary Patterns: A Novel Shape Descriptor,” Kyoto, Japonya, 2013, vol. 1, p. 169, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/85394.