Windows gives you the ability to take a snapshot of what is shown on your computer screen and save it as a file. You can then view this image at a later date to see what your screen looked like or ...

Abstract: In this paper, a novel 3D image file encryption algorithm based on a new discrete chaotic system is presented. Chaotic characteristics of the novel chaotic system are analyzed by phase ...

Abstract: This paper presents a framework for a semisupervised domain adaptation method for remote sensing image classification. Most of the representation-based domain adaptation methods attempt to ...

Image processing has become an integral part of modern technology, enhancing our ability to interpret and analyze visual data. One of the critical methodologies in this domain is probabilistic ...

Label-free, two-photon excited fluorescence (TPEF) imaging captures morphological and functional metabolic tissue changes and enables enhanced understanding of numerous diseases. However, noise and ...

Medical image segmentation based on deep learning has become a powerful tool in the field of medical image processing. Due to the special nature of medical images, image segmentation algorithms based ...

Genetic algorithms are a type of evolutionary algorithm that can evolve "solutions" to specific problems. They implement survival of the fittest, mutation, and parenting... They can solve problems ...

Most whole slide imaging (WSI) systems today rely on the “stop-and-stare” approach, where, at each field of view, the scanning stage is brought to a complete stop before the camera snaps a picture.

Image labeling is a common task in computer vision where humans are used to generate a ground truth data set to act both as training data for computer vision algorithms and testing benchmarks for ...

The reconstruction of electrophysiological sources within the brain is sensitive to the constructed head model, which depends on the positioning accuracy of anatomical landmarks known as fiducials. In ...