Segmentation has become a widely used tool in modern image analysis. Typical methods are highly nonlinear and often ad hoc, and none so far have proved accessible to detailed statistical analysis even ...

These basic foundations allow you to ask questions of and extract data from images captured using a fluorescent microscope. Drs Law and Khadivjam will look at segmentation, finding maxima, and using ...

Image preprocessing is the first step in OCR technology, aimed at improving image quality to create favorable conditions for subsequent character recognition. Vehicle document images may be affected ...

Meta's image segmentation model could have a lot of applications, including in AR and VR.

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.

AttendSeg is a new neural network architecture from DarwinAI designed to perform image segmentation on low-power/capacity computing devices.

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