We interact with digital images every single day, snapping photos, applying filters, and rendering 3D visualizations. But while the human eye sees colors, shapes, and depth, a computer sees something ...

ABSTRACT: A nation’s development depends in part on the quality of its road network. To this end, resources are being deployed to monitor the surface condition of our roads. Applying deep learning to ...

1 Laboratory of Studies and Tests in Civil Engineering (L2EGC), National University of Sciences, Technologies, Engineering and Mathematics, Abomey, Benin. 2 Laboratory of Applied Energetic and ...

At present, surface defect equipment based on machine vision has widely replaced artificial visual inspection in various industrial fields, including 3C, automobiles, home appliances, machinery ...

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 ...

Existing image processing and target recognition algorithms have limitations in complex underwater environments and dynamic changes, making it difficult to ensure real-time and precision. Multiple ...

Images are an essential medium of communication in various fields, from medical imaging and satellite analysis to artificial intelligence and computer vision. While colored images are rich in visual ...

Edge detection is a crucial task in image processing and remote sensing, particularly for accurately identifying and separating shapes in noisy digital images. To enhance robustness and detail in edge ...

Measurements of rice physical traits, such as length, width, and percentage of filled/unfilled grains, are essential steps of rice breeding. A new approach for measuring the physical traits of rice ...

This project is focused on detecting shoes in images and classifying them using object detection and image classification models. The object detection model is trained to detect shoes in images, while ...