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An Edge Detection Method for Hexagonal Images
Kazi Mostafa, Innchyn Her
Pages - 161 - 173     |    Revised - 31-08-2016     |    Published - 01-10-2016
Volume - 10   Issue - 4    |    Publication Date - October 2016  Table of Contents
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KEYWORDS
Hexagonal Grid, Mathematical Morphology, Top-hat Transform, Edge Detection.
ABSTRACT
This paper presents a morphological image processing operation for hexagonally sampled images and proposes a new edge detection method for these images by using a grayscale morphology. This is achieved by applying morphological gradient operators and multiscale top-hat transformations (white and black top-hat transformations) to hexagonal images. The proposed study includes a method for converting hexagonally sampled images as well as the processing and subsequent display of images on a hexagonal grid. Performance evaluation were performed to assess the proposed method. The proposed study shows that a method of edge enhancement by applying three by three hexagonal structuring element achieves results superior to those of a rectangular images. The results indicated that the proposed edge detection algorithms improved substantially after implementation of the edge enhancement method.
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Mr. Kazi Mostafa
National Sun Yat-sen University - Taiwan
kazimostafa@gmail.com
Dr. Innchyn Her
Mechanical & Electro-mechanical Engineering National Sun Yat-sen University Kaohsiung, 804, Taiwan - Taiwan