DocumentCode
166088
Title
A Neural Network approach to edge detection using Adaptive Neuro-Fuzzy Inference System
Author
Anwar, Sohel ; Raj, Sugandh
Author_Institution
Dept. of Comput. Sci. & Eng., Birla Inst. of Technol., Ranchi, India
fYear
2014
fDate
24-27 Sept. 2014
Firstpage
2432
Lastpage
2435
Abstract
This paper highlights the importance of edge detection in action recognition and presents an edge detection method based on Artificial Neural Network. To implement this concept the Adaptive Neuro-Fuzzy Inference System (ANFIS) has been used. The ANFIS is first designed, trained and checked for average error tolerance. The system is then tested with a few sample images whose results are discussed at the end. A comparison between the traditional edge detectors and the ANFIS method is also provided.
Keywords
edge detection; fuzzy reasoning; neural nets; ANFIS; adaptive neuro-fuzzy inference system; edge detection; neural network approach; Artificial neural networks; Convolution; Detectors; Fuzzy logic; Image edge detection; Kernel; PSNR; Adaptive Neuro-Fuzzy Inference System (ANFIS); Edge Detection; Fuzzy Inference System;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
Conference_Location
New Delhi
Print_ISBN
978-1-4799-3078-4
Type
conf
DOI
10.1109/ICACCI.2014.6968406
Filename
6968406
Link To Document