DocumentCode :
243127
Title :
An improved local binary pattern for edge detection of images
Author :
Nakharacruangsak, Songpon ; Sodanil, Maleerat ; Nitsuwat, Supot
Author_Institution :
Fac. of Inf. Technol., King Mongkut´s Univ. of Technol., Bangkok, Thailand
fYear :
2014
fDate :
22-25 Oct. 2014
Firstpage :
1
Lastpage :
4
Abstract :
This research proposed the improved H-LBP for edge detection, TH-LBP. It applied the Hyperbolic Tanh function instead of the H function. In this method, the continuous and thick edges can be obtained. In addition, the method parameters could be adjusted to increase the edge details in the low contrast area. This method can solve the problem in the case that the two different local areas obtain the same result.
Keywords :
edge detection; feature extraction; hyperbolic equations; TH-LBP; hyperbolic tanh function; image edge detection; local binary pattern; Biomedical imaging; Differential equations; Gray-scale; Image edge detection; Information technology; Laplace equations; Noise; Edge Detection Method; Edge Extraction; Local Binary Patter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2014 - 2014 IEEE Region 10 Conference
Conference_Location :
Bangkok
ISSN :
2159-3442
Print_ISBN :
978-1-4799-4076-9
Type :
conf
DOI :
10.1109/TENCON.2014.7022390
Filename :
7022390
Link To Document :
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