Edge-detection method using binary morphology on hexagonal images
Kazi Mostafa, John Y. Chiang, Innchyn Her · The Imaging Science Journal · 2014
This paper proposes a new edge-detection and noise-removal method for hexagonally sampled images by using binary morphology edge detection on hexagonally sampled images. This is achieved by applying binary morphological operators on hexagonal images. This approach presents a framework for conversion of hexagonally sampled images and processing to detect edges on a hexagonal grid. The proposed study shows that a method combining horizontal, 60° and 120° directional hexagonal structuring elements achieves results superior to those of a rectangular image. The experimental results showed that the proposed method was more efficient for binary hexagonal image edge detection and noise removal than the commonly used rectangular image.