Object detection is a key ability required by most computer and robot vision systems. The
latest research on this area has been making great progress in many directions. In the …

Livestock management involves the monitoring of farm animals by tracking certain
physiological and phenotypical characteristics over time. In the dairy industry, for instance …

The popularity and the appeal of systems which are able to automatically determine the
gender from face images are growing rapidly. Such a great interest arises from the wide …

Most object recognition methods rely on contour-defined features obtained by edge
detection or region segmentation. They are not robust to diffuse region boundaries …

Radio galaxies exhibit a rich diversity of morphological characteristics, which make their
classification into distinct types a complex challenge. To address this challenge effectively …

Gender recognition from face images is an important application in the fields of security,
retail advertising and marketing. We propose a novel descriptor based on COSFIRE filters …

COSFIRE filters are an effective means for detecting and localizing visual patterns. In
contrast to a convolutional neural network (CNN), such a filter can be configured by …

Segmentation of the retinal blood vessels using filtering techniques is a widely used step in
the development of an automated system for diagnostic retinal image analysis. This paper …

We propose a novel and versatile computational approach, based on hierarchical COSFIRE
filters, that addresses the challenge of explainable retina and palmprint recognition for …

This paper proposes a novel method for in situ localization of multiple inserts by means of
machine vision techniques, a challenging issue in the field of tool wear monitoring. Most …