[HTML][HTML] A review on the use of computer vision and artificial intelligence for fish recognition, monitoring, and management

JGA Barbedo - Fishes, 2022 - mdpi.com
Computer vision has been applied to fish recognition for at least three decades. With the
inception of deep learning techniques in the early 2010s, the use of digital images grew …

[HTML][HTML] Review of image segmentation techniques for layup defect detection in the Automated Fiber Placement process: A comprehensive study to improve AFP …

S Meister, MAM Wermes, J Stüve… - Journal of Intelligent …, 2021 - Springer
The aerospace industry has established the Automated Fiber Placement process as a
common technique for manufacturing fibre reinforced components. In this process multiple …

Wavelength-based attributed deep neural network for underwater image restoration

P Sharma, I Bisht, A Sur - ACM Transactions on Multimedia Computing …, 2023 - dl.acm.org
Background: Underwater images, in general, suffer from low contrast and high color
distortions due to the non-uniform attenuation of the light as it propagates through the water …

Enhancing underwater image via adaptive color and contrast enhancement, and denoising

X Li, G Hou, K Li, Z Pan - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Images captured under water are often characterized by low contrast, color distortion, and
noise, hindering some visual tasks carried out on it. Despite remarkable breakthrough has …

A survey of restoration and enhancement for underwater images

W Zhang, L Dong, X Pan, P Zou, L Qin, W Xu - IEEE Access, 2019 - ieeexplore.ieee.org
Images captured underwater usually suffer from color distortion, detail blurring, low contrast,
and a bluish or greenish tone due to light scattering and absorption in the underwater …

[PDF][PDF] Combining Artificial Intelligence and Image Processing for Diagnosing Diabetic Retinopathy in Retinal Fundus Images.

OM Al-hazaimeh, AA Abu-Ein, NM Tahat… - … Journal of Online & …, 2022 - researchgate.net
Retinopathy is an eye disease caused by diabetes, and early detection and treatment can
potentially reduce the risk of blindness in diabetic retinopathy sufferers. Using retinal Fundus …

[HTML][HTML] A new approach for detecting fundus lesions using image processing and deep neural network architecture based on YOLO model

C Santos, M Aguiar, D Welfer, B Belloni - Sensors, 2022 - mdpi.com
Diabetic Retinopathy is one of the main causes of vision loss, and in its initial stages, it
presents with fundus lesions, such as microaneurysms, hard exudates, hemorrhages, and …

Benchmarking underwater image enhancement and restoration, and beyond

G Hou, X Zhao, Z Pan, H Yang, L Tan, J Li - IEEE Access, 2020 - ieeexplore.ieee.org
Image enhancement and restoration is among the most investigated topics in the field of
underwater machine vision. The objective image quality assessment is a fundamental part of …

Deep learning, reusable and problem-based architectures for detection of consolidation on chest X-ray images

H Behzadi-Khormouji, H Rostami, S Salehi… - Computer methods and …, 2020 - Elsevier
Background and objective In most patients presenting with respiratory symptoms, the
findings of chest radiography play a key role in the diagnosis, management, and follow-up of …

Application of computer vision in fish intelligent feeding system—A review

D An, J Hao, Y Wei, Y Wang, X Yu - Aquaculture Research, 2021 - Wiley Online Library
Intelligent feeding will be an important mechanism for future aquaculture breeding, and the
establishment of this system will also become a primary concern. At the same time, computer …