Meta's new image segmentation models can identify objects and people and reconstruct them in 3D - SiliconANGLE ...

In a recent study published in Nature Methods, researchers assessed a novel method for bacterial cell segmentation named Omnipose. Breakthroughs in microscopy are extremely promising for enabling ...

Superpixel segmentation algorithms constitute a crucial advancement in image processing and computer vision, wherein images are partitioned into perceptually meaningful regions with homogenous ...

Image segmentation remains a cornerstone of computer vision, facilitating the partitioning of images into meaningful regions for analysis and interpretation. Recent advancements have seen the ...

AI-based evaluation of medical imaging data usually requires a specially developed algorithm for each task. Scientists have now presented a new method for configuring self-learning algorithms for a ...

The effective identification of clouds and monitoring of their evolution are important toward more accurate quantitative precipitation estimation and forecast. In this study, a new gradient-based ...

This is a preview. Log in through your library . Abstract Most segmentation algorithms are composed of several procedures: split and merge, small region elimination, boundary smoothing,..., each ...

Face detection is an important process used to extract faces from static images or video frames. In this paper, a face detection system is demonstrated using skin color segmentation algorithm. The ...

Abstract: Time series data (observations indexed by time or other meaningful orderings) are encountered in many areas such as finance, economics, medicine, engineering, natural and social sciences. A ...

In 2008 I wrote about the importance of link placement when building links. There are still a lot of SEOs out there that want templated (e.g. blogroll, footer) links over inline contextual ones. This ...