A research team led by Prof. Wang Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science ...

To study the application of digital signal processing to problems in image processing. Topics covered will range from the fundamentals of 2-D signals and systems, to image enhancement, restoration and ...

Artificial Intelligence (AI) has rapidly emerged as a transformative technology in healthcare, particularly in medical image processing. Medical imaging ...

Researchers have developed a new technique that improves the ability of computer vision technologies to better identify and separate objects in an image, a process called segmentation.

Image processing with AI algorithms that can interpret images and give a diagnosis — or at least hint at one — has garnered a lot of interest. Medical customers are looking at AI accelerators.

Google's newly open-sourced AI image segmentation systems and models are optimized for its cloud TPU hardware, the company says.

Join 10,000+ vision professionals driving innovation in automation, AI and imaging with: A new microscopy technique developed by Queen Mary University has achieved live-cell imaging at 60nm, and could ...

According to a blog post from Meta, SAM is an image segmentation model that can respond to text prompts or user clicks to isolate specific objects within an image.