Intensity Mapping
Intensity mapping involves analyzing and manipulating the intensity values of images or data, aiming to improve image quality, facilitate comparisons, or extract meaningful information. Current research focuses on developing advanced algorithms, including neural network-based approaches and weighted histogram averaging techniques, to achieve tasks such as image registration, normalization, and object representation for robot navigation. These methods are improving image pre-processing in medical imaging and enabling more robust and efficient autonomous navigation systems, highlighting the broad applicability of intensity mapping across diverse scientific and engineering domains.
Papers
August 30, 2024
September 13, 2023
March 21, 2023