Feature extraction is widely used in image processing applications such as face recognition,
character recognition, fingerprint identification and medicine. Edge features is among the …

Diatom exoskeletons, known as frustules, exhibit a unique multilayer structure that has
attracted considerable attention across interdisciplinary research fields as a source of …

Delamination is one of the most critical damage modes in carbon fiber reinforced polymer
(CFRP) materials, and is invisible to the naked eye. Although delamination defect images of …

Laser beam profiles in analytical laser ablation–inductively coupled plasma–mass
spectrometry (LA-ICP-MS) instruments are in general homogenized to produce a flat-top …

Stereo vision (SV) is a widely used measurement technology, while accuracy is one of its
most critical properties. Currently, modeling the volumetric error of the SV system is a way to …

The necessity of identifying an individual's intentions solely through facial expressions,
without verbal communication, is crucial in daily life. Various approaches employing Artificial …

In computer vision, contour/edge detection is a crucial phenomenon. Edge detection is an
important step in contour detection, which is helpful in the identification of important data …

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 …

Hexagonal image sampling and processing are theoretically superior to the most commonly
used square lattice based sampling and processing, but due to the lack of commercial …

We introduce the Hexagonal Convolutional Neural Network (HCNN), a modified version of
CNN that is robust against rotation. HCNN utilizes a hexagonal kernel and a multi-block …