Application of canny operator threshold adaptive segmentation algorithm combined with digital image processing in tunnel face crevice extraction

F Jiang, G Wang, P He, C Zheng, Z Xiao… - The Journal of …, 2022 - Springer
The present work aims to reduce tunnel construction accidents to personnel. The threshold
adaptive segmentation algorithm combined with the Canny operator is employed to extract …

Houghencoder: neural network architecture for document image semantic segmentation

A Sheshkus, D Nikolaev… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
In this paper, we propose a HoughEncoder neural network architecture for the semantic
image segmentation task. The main feature of the proposed architecture is that it contains …

Non-contact detection of degradation of in-service steel sheet piles due to buckling phenomena by using digital image analysis with Hough transform

T Hagiwara, Y Shimamoto, T Suzuki - Frontiers in Built Environment, 2022 - frontiersin.org
Steel sheet pile materials are primarily used for canal structure construction for irrigation and
drainage of agricultural fields in Japan. Recently, accelerated corrosion of steel materials …

Geometric parameters calibration of focused light field camera based on edge spread information fitting

W Feng, H Wang, J Fan, B Xie, X Wang - Photonics, 2023 - mdpi.com
In this paper, a novel method based on edge spread information fitting (ESIF) is proposed to
accurately calibrate the geometric parameters of a focused light field camera. A focused light …

An Efficient Document Skew Detection Method Using Probability Model and Q Test

K Huang, Z Chen, M Yu, X Yan, A Yin - Electronics, 2019 - mdpi.com
Document skew detection is one of the key technologies in most of the document analysis
systems. However, existing skew detection methods either have low accuracy or require a …

[HTML][HTML] Discretisation of the Hough parameter space for fitting and recognising geometric primitives in 3D point clouds

C Romanengo, B Falcidieno, S Biasotti - Mathematics and Computers in …, 2025 - Elsevier
Research in recognising and fitting simple geometric shapes has been ongoing since the
1970s, with various approaches proposed, including stochastic methods, parameter …

Handwritten text recognition and information extraction from ancient manuscripts using deep convolutional and recurrent neural network

H El Bahi - Soft Computing, 2024 - Springer
Digitizing ancient manuscripts and making them accessible to a broader audience is a
crucial step in unlocking the wealth of information they hold. However, automatic recognition …

A novel deep learning based method for Vietnamese ID card skew correction

V Le Cuong, NP Huy, N Van Canh… - … Circuits, Design, and …, 2024 - ieeexplore.ieee.org
The skewness introduced during the capturing or scanning of national identity cards poses a
significant challenge of accurate information extraction. In this paper, we propose a method …

[PDF][PDF] Robust table recognition for printed document images

Q Liang, J Peng, Z Li, D Xie, W Sun… - Mathematical …, 2020 - aimspress.com
The recognition and analysis of tables on printed document images is a popular research
field of the pattern recognition and image processing. Existing table recognition methods …

Skew angle detection and correction in text images using RGB gradient

B Rocha, G Vieira, H Pedrini, A Fonseca… - … Conference on Image …, 2022 - Springer
Detecting and correcting skew angles is critical to success in document layout analysis and
optical character recognition tasks, as they are more susceptible to failure when on uneven …