Multi-level thresholding for image segmentation is one of the key techniques in image processing. Although numerous methods have been introduced, it remains challenging to achieve stable and ...

Digital images are now indispensable for conveying information, due to their straightforwardness, ease of understanding, and suitability for facilitating communication across languages, ages, and ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Magnetic resonance imaging (MRI) is a popular imaging modality in preclinical research because it delivers multiparametric information on tissues and organs in a noninvasive manner. The small ...

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...

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 ...

When trying to measure molecular structures with nanometer precision, every bit of noise shows up in the data: someone walking past the microscope, tiny vibrations in the building and even the traffic ...

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 ...

Algorithms have taken on an almost mythical significance in the modern world. They determine what you see on social media and when browsing online, help form people’s belief systems, and impact the ...