Advanced geospatial applications often involve complex computing operations performed
under sometimes severe resource constraints. These applications primarily rely on …

In recent years, the processing of hexagonal pixel-based images has been investigated, and
as a result, a number of edge detection algorithms for direct application to such image …

In today's industry, automatic detection of geologic features such as faults and channels is a
challenging problem when the quality of data is not good. Edge detection filters are …

Many metaheuristic algorithms have been developed with genuine inspiration from nature.
Photoreceptors through certain ganglion cells of fovea towards the main cells of said visual …

This paper introduces Hex U-Net, an innovative segmentation framework designed for
hexagonal pixel-based images. It overcomes the shortcomings of conventional methods that …

Hexagonal grids have many advantages over square grids and could be successfully used
in mobile robotics as a map representation. However, there is a lack of an essential …

Nature-inspired computing has been a real source of motivation for the development of
many meta-heuristic algorithms. The biological optic system can be patterned as a cascade …

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 …

Several commercial algorithms have been developed for color enhancement of a digital
image; however, none of these are completely able to preciously process a digital image …

A digital image is not an exact snapshot of reality; it is only a discrete approximation. Thus,
the captured images are always bit different from the images actually perceived by human …