DocumentCode
3580476
Title
Edge Detection Using Modified Firefly Algorithm
Author
Gupta, Mukesh ; Tazi, S.N. ; Jain, Akansha ; Deepika
fYear
2014
Firstpage
167
Lastpage
173
Abstract
In order to get an enhanced image and for extracting useful information, an image is first converted into digital form and after that various operations are performed on it. Image edge detection is one of the most important preprocessing step in image processing. In this paper, we compare various traditional edge detection methods such as Canny, Prewitt, Robert and Sobel. Also we propose edge detection algorithm which is a combination of particle swarm and firefly optimization algorithms, known as "Modified Firefly Algorithm. At last we have implemented our method and compare it with the existing edge detection methods.
Keywords
edge detection; image enhancement; particle swarm optimisation; firefly optimization algorithm; image edge detection algorithm; image enhancement; image processing; modified firefly algorithm; particle swarm optimization algorithm; useful information extraction; Approximation algorithms; Brightness; Detectors; Image edge detection; Noise; Optimization; Particle swarm optimization; Canny; Firefly and Modified Firefly algorithms; Prewitt; Robert; Sobel; particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN
978-1-4799-6928-9
Type
conf
DOI
10.1109/CICN.2014.48
Filename
7065467
Link To Document