Image processing is used in a variety of use cases today, including visualisation, pattern recognition, segmentation, image information extraction, classification, and many others. Image processing ...

The pathway in the brain responsible for vision operates in several layers, each of which is thought to extract progressively more information from an image, such as movement, shape, color, and so on.

AI vision models have improved dramatically over the past decade. Yet these gains have led to neural networks which, though effective, don’t share many characteristics with human vision. For example, ...

Max Williams, an AI researcher who helped compile a dataset of thousands of optical illusion images for computer vision systems, puts the relationship between general vision and optical illusions ...

Unlike the related topics of machine vision and digital image processing, the goal of computer vision is broader, enabling a “full-scene understanding” of imagery or a 360-deg. view.

As computer vision and image processing technologies continue to pave the way for advances in artificial intelligence systems, experts in these fields will continue to be in high demand. In this track ...

Advancement In AI-Enabled Machine Vision. In pathology, and specifically for complete blood count (CBC), first-generation automation has been applied since the 1960s by running cells through pipes ...

Machine vision has revolutionized many areas of technology, but satellite image analysis isn’t one of them. That may be about to change.

Computer vision has improved massively in recent years, but it’s still capable of making serious errors. So-called “adversarial images” are routinely misidentified by AI. Researchers from UC ...