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Research Article |

A Novel Hexagonal Psuedo framework for Edge Detection Operators on Hexagonal Framework

Author(s): Prathibha Varghese1 and Dr. G. Arockia Selva Saroja2

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 10, Issue 4

Publisher : FOREX Publication

Published : 20 November 2022

e-ISSN : 2347-470X

Page(s) : 1036-1042

DOI: https://doi.org/10.37391/IJEER.100446

Abstract

Edge detection using a gradient-based detector is a gold-standard method for identifying and analyzing different edge points in an image. A hexagonal grid structure is a powerful architecture dominant for intelligent human-computer vision. This structure provides the best angle resolution, good packing density, high sampling efficiency, equidistant pixels, and consistent connectivity. Edge detection application on hexagonal framework provides more accurate and efficient computations. All the real-time hardware devices available capture and display images in rectangular-shaped pixels. So, an alternative approach to mimic hexagonal pixels using software approaches is modeled in this paper. In this research work, an innovative method to create a pseudo hexagonal lattice has been simulated and the performance is compared with various edge detection operators on the hexagonal framework by comparing the quantitative and qualitative metrics of the grayscale image in both square and hexagonal lattice. The quantitative performance of the edge detection on the hexagonal framework is compared based on the experimental facts. The pseudo-hexagonal lattice structure assures to be aligned toward the human vision.

Keywords: Edge detection operators, Resampling, Spiral addressing architecture, Sampling efficiency, Grayscale image.




Prathibha Varghese*, Research Scholar, Department of Electronics and Communication Engineering, Noorul Islam Centre for Higher Education, Thuckalay, Kumaracoil-629180, Tamil Nadu, India; Email: prathibhavarghese2003@gmail.com

Dr. G. Arockia Selva Saroja, Associate Professor, Department of Electronics and Communication Engineering, Noorul Islam Centre for Higher Education, Thuckalay, Kumaracoil-629180, Tamil Nadu, India; Email: arockiaselvasaroja@niuniv.com

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Prathibha Varghese & Dr.G. Arockia Selva Saroja (2022), A Novel Hexagonal Psuedo framework for Edge Detection Operators on Hexagonal Framework. IJEER 10(4), 1036-1042. DOI: 10.37391/IJEER.100446.