The field of optical image processing is undergoing a transformation driven by the rapid development of vision-language models (VLMs). A new review article published in iOptics details how these ...
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 ...
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 ...
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 ...
Abstract: Increasingly available ultrastructural data from a continuously growing diversity of experimental conditions are driving new opportunities for fruitful neuroscientific hypotheses tested in ...
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, ...
Several Pixel users are reporting discrepancies between their camera viewfinder previews and the final processed photos. Most of the complaints focus on over-processed images with inaccurate color ...
Abstract: The individualization of an object from a digital image is a common problem in the field of image processing. We propose a modified version of the watershed algorithm for image segmentation.
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