This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...

Roadways are critical to meeting the mobility and economic needs of the nation. The United States uses 28% of its energy in moving goods and people, with approximately 60% of that utilized by cars, ...

While grayscale image processing teaches the core concepts of intensity and contrast, color image processing opens the door to more advanced and realistic computer vision tasks. Colors aren't just ...

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 ...

Abstract: In our study, we present a novel method for automating the segmentation and classification of bone marrow images to distinguish between normal and Acute Lymphoblastic Leukaemia (ALL). Built ...

For solving the problem of quality detection in the production and processing of stuffed food, this paper suggests a small neighborhood clustering algorithm to segment the frozen dumpling image on the ...

Abstract: The paper intends to illustrate the usage and combination of different functions designed in a MATLAB-Simulink based GUI to analyse the Infrared images. It combines the use of filters (low ...

Structural magnetic resonance imaging (MRI) has elicited increasing attention in morphological surface studies due to its stability and sensitivity to neurodegenerative processes, particularly in ...

Identification of individual cells in tissues, organs, and in various developing systems is a well-studied problem because it is an essential part of objectively analyzing quantitative images in ...