Artists urgently need stronger defenses to protect their work from being used to train AI models without their consent.

Images generated by artificial intelligence (AI) are often almost indistinguishable from real images to the human eye.

Professional astronomers don't make discoveries by looking through an eyepiece like you might with a backyard telescope.

This paper addresses a novel image thresholding scheme using Atanassov intuitionistic fuzzy set. The intuitionistic fuzzy set theory takes into account the membership degree and another uncertainty ...

This repository is the open source code for our latest feasibility work: "Human Anomalous Gait Termination Recognition Via Through-the-Wall Radar Based on Micro-Doppler Corner Features and Non-Local ...

In the normal image thresholding methods based on two-dimensional histogram, the edge information of the regions is not maintained because of the local averaging activity used. Moreover, the ...

Experiments involving the high-throughput quantification of image data require algorithms for automation. A challenge in the development of such algorithms is to properly interpret signals over a ...

We introduce the use of mimetic methods to the imaging community, for the solution of the initial-value problems ubiquitous in the machine vision and image processing and analysis fields. PDE-based ...