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A Novel Hybrid Technique for Sub-pixel Edge Detection using Fuzzy Logic and Zernike Moment

J. Bala1 , R. Dhir2

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-4 , Page no. 26-31, Apr-2014

Online published on Apr 30, 2014

Copyright © J. Bala, R. Dhir . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: J. Bala, R. Dhir, “A Novel Hybrid Technique for Sub-pixel Edge Detection using Fuzzy Logic and Zernike Moment,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.4, pp.26-31, 2014.

MLA Style Citation: J. Bala, R. Dhir "A Novel Hybrid Technique for Sub-pixel Edge Detection using Fuzzy Logic and Zernike Moment." International Journal of Computer Sciences and Engineering 2.4 (2014): 26-31.

APA Style Citation: J. Bala, R. Dhir, (2014). A Novel Hybrid Technique for Sub-pixel Edge Detection using Fuzzy Logic and Zernike Moment. International Journal of Computer Sciences and Engineering, 2(4), 26-31.

BibTex Style Citation:
@article{Bala_2014,
author = {J. Bala, R. Dhir},
title = {A Novel Hybrid Technique for Sub-pixel Edge Detection using Fuzzy Logic and Zernike Moment},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2014},
volume = {2},
Issue = {4},
month = {4},
year = {2014},
issn = {2347-2693},
pages = {26-31},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=103},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=103
TI - A Novel Hybrid Technique for Sub-pixel Edge Detection using Fuzzy Logic and Zernike Moment
T2 - International Journal of Computer Sciences and Engineering
AU - J. Bala, R. Dhir
PY - 2014
DA - 2014/04/30
PB - IJCSE, Indore, INDIA
SP - 26-31
IS - 4
VL - 2
SN - 2347-2693
ER -

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Abstract

This paper is based on the development of fuzzy Logic based edge detection techniques in digital images. The proposed technique used Sobel operator, Zernike moment operator, and Fuzzy inference system in combination for edge detection purpose. Edge is a boundary between two homogeneous regions. Edge detection refers to the process of identifying and locating sharp discontinuities in an image. In this paper, the main aim of edge detection technique is to filter out unnecessary, false and double edges in the final image.

Key-Words / Index Term

Edge Detection, Fuzzy Logic, Image Processing, Fuzzy Infrence System, Zernike Moment

References

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