A comprehensive collection of advanced image processing nodes for ComfyUI, featuring state-of-the-art denoising, enhancement, and restoration techniques with GPU acceleration and specialized film ...

Abstract: This study aims to implement the Watershed algorithm with an enhanced approach by incorporating a Gradient parameter based on distance and color intensity to improve the segmentation quality ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...

Connected component labeling (CCL) is a fundamental operation within image processing and computer vision, serving as the backbone for tasks such as object recognition, segmentation, and analysis. At ...

This thesis focuses on leveraging Image Processing, Computer Vision, Machine Learning, and Deep Learning, particularly the Vision Transformer (ViT) model, for early identification of Alzheimer’s ...

The Allen Telescope Array, Hat Creek Radio Observatory. Credit: Alexander Pollak. Radio interferometry is a technique in radio astronomy where signals from two or more radio telescopes are combined to ...

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 is a course depository from K. N. Toosi University of Technology. The course is Digital Image Processing taught by Dr. Yasser Maqsoudi and Seyed Ali Ahmadi in geomatics faculty of K.N.T.

Neural activity leads to hemodynamic changes which can be detected by functional magnetic resonance imaging (fMRI). The determination of blood flow changes in individual vessels is an important aspect ...