Abstract: In the medical diagnostics domain, pathology and histology are pivotal for the precise identification of diseases. Digital histopathology, enhanced by automation, facilitates the efficient ...

Ambient lighting normalization is an important computer vision task that aims to remove shadows and standardize illumination across an entire image. While previous approaches have primarily focused on ...

Learn how to normalize a wave function using numerical integration in Python. This tutorial walks you through step-by-step coding techniques, key functions, and practical examples, helping students ...

I read the Jan. 24 commentary, “The abhorrent power of the photograph of a 5-year-old held by ICE‚” written by Washington Post art and architecture critic Philip Kennicott, and am compelled to write ...

Unification: Otary offers a cohesive solution for image and geometry manipulation, letting you work seamlessly without switching tools. Readability: Self-explanatory by design. Otary’s clean, readable ...

Abstract: When performing relative radiometric normalization (RRN) on higher spatial resolution images using a reference image with lower spatial resolution, it is common to downsample the ...

1 Shanghai Key Laboratory of Forensic Medicine and Key Laboratory of Forensic Science, Ministry of Justice, Shenyang, Liaoning, China 2 School of Public Security Information Technology and ...

Deep learning (DL) enables automated bone segmentation in micro-CT datasets but can struggle to generalize across developmental stages, anatomical regions, and imaging conditions. We present BP-2D-03, ...