Abstract: This research explores the use of a modified infrared (IR) camera equipped with a high-pass filter to distinguish between natural objects (vegetation) and artificial objects (synthetic ...
Neural interface system that uses machine learning to decode brain signals and generate immersive virtual worlds. Combines EEG/fMRI processing, deep learning models, and real-time procedural ...
This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...
The tremendous growth of deep learning models, especially the success of generative AI and foundation models, has led to their deployment in several critical sectors, including biometric recognition, ...
This project develops an adaptive preprocessing pipeline for Intraoral Periapical (IOPA) X-ray images, aimed at enhancing image quality for dental diagnostics, such as caries detection. The pipeline ...
Abstract: Image processing has emerged as a crucial technology in agriculture, facilitating tasks such as crop monitoring, disease detection, and yield estimation. Python, with its extensive libraries ...
Wenglor released the 2.3 version of its uniVision software for two- and three-dimensional image processing. This latest release allows quick and easy integration of Smart Cameras and control units in ...
Developed an image processing tool that includes the following examples: A GUI for filtering noisy images using different types of noise filters. A GUI for image registration using cross-correlation ...
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