Volume & Issue no: Volume 4, Issue 5(1), September - October 2015
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Title: |
A Optimized Analysis of Different Edge
Detection methods in Image Restoration with
Neuro-Fuzzy Technique |
Author Name: |
Ritika Dahri , Parvinder Yadav |
Abstract: |
Abstract
Image restoration is to improve the quality of the degraded
image. It is used to recover an image from distortions to its
original image. Image Deconvolution method is used as a
linear image restoration problem where the parameters of the
true image are estimated using the observed or degraded
image and a known Point Spread Function (PSF). To improve
quality of image Genetic algorithm is replaced by technique
called BBO for the restoration of image for better quality of
image . Genetic algorithm[2] is slower than Biogeography
based optimization So Ant colony optimization algorithms
based on the pheromone trail laying and follow behavior of
real ants which use pheromones as a communication medium
have been applied to many combinatorial optimization
problems, ranging from quadratic assignment to protein
folding or routing of vehicles .In this paper , ACO technique
used to optimized the edge detection[1] in image restoration.
There are various edge detection methods available to detect
an edge of the image such as Sobel, Prewitt, Roberts, and
Canny. The edges can be detected effectively using Ant colony
Optimization method[8]. Edge provides a number of derivative
(of the intensity is larger than threshold) estimators. The edge
can be detected for checking whether there exists ringing
effect in an input image or not. Thus ACO is used to solve
image processing problem with a reference to a new
automatic restoration technique based on real-coded
particle ant colony is proposed in this paper. And also
use Neuro-Fuzzy algorithm to enhance the previous result.
ANFIS tool is used to overcome the limitation of previous
work.
Keywords:- Edge detection ,Ant colony optimization,
Image restoration, Neural networks, and Fuzzy |
Cite this article: |
Ritika Dahri , Parvinder Yadav , "
A Optimized Analysis of Different Edge
Detection methods in Image Restoration with
Neuro-Fuzzy Technique" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 5(1), September - October 2015 , pp.
040-043 , ISSN 2278-6856.
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