Detection of microcracks in silicon solar cells using Otsu-Canny edge detection algorithm

SG Monicka, D Manimegalai, M Karthikeyan - Renewable Energy Focus, 2022 - Elsevier
The necessity for photovoltaic (PV) arrays has expanded due to the rising demand for solar
electrical energy. The demand for solar cells has grown as they are a key component of the …

Improved mask R-Cnn combined with Otsu preprocessing for rice panicle detection and segmentation

S Hong, Z Jiang, L Liu, J Wang, L Zhou, J Xu - Applied Sciences, 2022 - mdpi.com
Rice yield is closely related to the number and proportional area of rice panicles. Currently,
rice panicle information is acquired with manual observation, which is inefficient and …

Immune coordination deep network for hand heat trace extraction

Z Zhou, B Zhang, X Yu - Infrared Physics & Technology, 2022 - Elsevier
The recognition and detection of infrared heat trace plays an important role in the search
and tracking fields of criminal investigation and military. However, due to the irregular …

Edge detection of agricultural products based on morphologically improved canny algorithm

X Yu, Z Wang, Y Wang, C Zhang - Mathematical Problems in …, 2021 - Wiley Online Library
The traditional canny edge detection algorithm has its limitations in the aspect of antinoise
interference, and it is susceptible to factors such as light. To solve these defects, the Canny …

[Retracted] Performance Analysis of Otsu‐Based Thresholding Algorithms: A Comparative Study

Q Cao, L Qingge, P Yang - Journal of Sensors, 2021 - Wiley Online Library
Image thresholding is a widely used technology for a lot of computer vision applications, and
among various global thresholding algorithms, Otsu‐based approaches are very popular …

An IoT based predictive modeling for Glaucoma detection in optical coherence tomography images using hybrid genetic algorithm

LK Singh, Pooja, H Garg, M Khanna - Multimedia Tools and Applications, 2022 - Springer
The primary cause of irreversible blindness due to glaucoma is a silent, progressive disease
with no noticeable symptoms. This eye disease gradually and rapidly damages the optic …

Improved Otsu and Kapur approach for white blood cells segmentation based on LebTLBO optimization for the detection of Leukemia.

NM Deshpande, S Gite, B Pradhan, K Kotecha… - Math Biosci …, 2022 - opus.lib.uts.edu.au
The diagnosis of leukemia involves the detection of the abnormal characteristics of blood
cells by a trained pathologist. Currently, this is done manually by observing the …

Hematologic cancer diagnosis and classification using machine and deep learning: State-of-the-art techniques and emerging research directives

H Patel, H Shah, G Patel, A Patel - Artificial Intelligence in Medicine, 2024 - Elsevier
Hematology is the study of diagnosis and treatment options for blood diseases, including
cancer. Cancer is considered one of the deadliest diseases across all age categories …

Binocular-vision-based structure from motion for 3-D reconstruction of plants

Y Peng, M Yang, G Zhao, G Cao - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
Monitoring plant growth is essential in modern agriculture to guarantee productivity. Since
manual measurement of plant characteristics is laborious and expensive, automatic …

Research on Improved Road Visual Navigation Recognition Method Based on DeepLabV3+ in Pitaya Orchard

L Zhu, W Deng, Y Lai, X Guo, S Zhang - Agronomy, 2024 - mdpi.com
Traditional DeepLabV3+ image semantic segmentation methods face challenges in pitaya
orchard environments characterized by multiple interference factors, complex image …