Connected component labeling (CCL) is a fundamental operation within image processing and computer vision, serving as the backbone for tasks such as object recognition, segmentation, and analysis. At ...

Recent advances in triangular grid algorithms have revitalised the field of image processing by offering robust alternatives to the conventional square sampling schemes. These approaches utilise the ...

Computer vision (CV) and image processing are two closely related fields that utilize techniques from artificial intelligence (AI) and pattern recognition to derive meaningful information from images, ...

Toyon Research Corp., Goleta, California, has been awarded an $8,653,279 cost-plus-fixed-fee contract for algorithm development for resilient on-orbit image processing. Work will be performed in ...

The SAFR SC850 integrates image capture, onboard processing and a NIST-tested algorithm to perform facial recognition ...

Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image ...

Machine learning is being integrated with medical image processing, one of the most useful technologies for medical diagnosis and surgery, greatly expanding the amount of useful information that can ...

A cloudy day can ruin a trip to the beach, a scenic picnic, and lots of other outdoor activities. But clouds in satellite imagery are also a big issue for remote sensing and land change scientists.

A controversy with Samsung's phone cameras has renewed the conversation surrounding computational photography, and highlights the difference between it, and Apple's approach in iOS. It isn't a big ...

A new technical paper titled “Electron Microscopy-based Automatic Defect Inspection for Semiconductor Manufacturing: A Systematic Review” was published by researchers at KU Leuven and imec. “In this ...