Research Article
A Comparative Study on Various Edge Detection Techniques used for the Identification of Penaeid Prawn Species
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 78 - Issue 6 |
| Published: September 2013 |
| Authors: V. Sucharita, S. Jyothi, D. M. Mamatha |
10.5120/13490-1198
|
V. Sucharita, S. Jyothi, D. M. Mamatha . A Comparative Study on Various Edge Detection Techniques used for the Identification of Penaeid Prawn Species. International Journal of Computer Applications. 78, 6 (September 2013), 1-5. DOI=10.5120/13490-1198
@article{ 10.5120/13490-1198,
author = { V. Sucharita,S. Jyothi,D. M. Mamatha },
title = { A Comparative Study on Various Edge Detection Techniques used for the Identification of Penaeid Prawn Species },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 78 },
number = { 6 },
pages = { 1-5 },
doi = { 10.5120/13490-1198 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A V. Sucharita
%A S. Jyothi
%A D. M. Mamatha
%T A Comparative Study on Various Edge Detection Techniques used for the Identification of Penaeid Prawn Species%T
%J International Journal of Computer Applications
%V 78
%N 6
%P 1-5
%R 10.5120/13490-1198
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Image recognition is a challenging problem. The identification of prawn species can be done using Image Processing. Each species of the prawn has got its own distinctive patterns which enable the various researchers to perform some research on it and to accurately classify the prawns. In this paper the fundamental concepts of different edge detection techniques are to be studied and apply the best techniques in identifying the Penaeid Prawn species type. This paper presents a comparative study of various edge detection techniques such as Sobel, Robert's operator, Prewitt's cross operator and Canny's edge detector. For the Prawn species identification image processing is used in which edge detection is the primary function. Particular edge detection method can be employed to characterize edges to represent the image for further implementation.
References
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