Printed circuit board defect detection methods based on image processing, machine learning and deep learning: A survey

Q Ling, NAM Isa - IEEE Access, 2023 - ieeexplore.ieee.org
Printed circuit boards (PCBs) are a nearly ubiquitous component of every kind of electronic
device. With the rapid development of integrated circuit and semiconductor technology, the …

Arc-support line segments revisited: An efficient high-quality ellipse detection

C Lu, S Xia, M Shao, Y Fu - IEEE Transactions on Image …, 2019 - ieeexplore.ieee.org
Over the years many ellipse detection algorithms spring up and are studied broadly, while
the critical issue of detecting ellipses accurately and efficiently in real-world images remains …

Automated liver and tumor segmentation based on concave and convex points using fuzzy c-means and mean shift clustering

R Ranjbarzadeh, SB Saadi - Measurement, 2020 - Elsevier
Identifying liver and tumour regions from medical images using fully automated computer-
aided software is a challenging task for the diagnosis of liver disease. In this paper, a novel …

A traffic surveillance system for obtaining comprehensive information of the passing vehicles based on instance segmentation

B Zhang, J Zhang - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
The vehicle information acquired by current video-based traffic surveillance methods is
usually onefold. In this paper, a traffic surveillance system for obtaining comprehensive …

Arc adjacency matrix-based fast ellipse detection

C Meng, Z Li, X Bai, F Zhou - IEEE Transactions on Image …, 2020 - ieeexplore.ieee.org
Fast and accurate ellipse detection is critical in certain computer vision tasks. In this paper,
we propose an arc adjacency matrix-based ellipse detection (AAMED) method to fulfill this …

Visual servoing approach to autonomous uav landing on a moving vehicle

A Keipour, GAS Pereira, R Bonatti, R Garg, P Rastogi… - Sensors, 2022 - mdpi.com
Many aerial robotic applications require the ability to land on moving platforms, such as
delivery trucks and marine research boats. We present a method to autonomously land an …

Vision-based trajectory monitoring for assembly alignment of precast concrete bridge components

Y Cheng, F Lin, W Wang, J Zhang - Automation in Construction, 2022 - Elsevier
The prefabricated structures are popularly used because of their high efficiency and it is
important to ensure their installation quality. The current installation is guided by visual …

A fast ellipse detector using projective invariant pruning

Q Jia, X Fan, Z Luo, L Song… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Detecting elliptical objects from an image is a central task in robot navigation and industrial
diagnosis, where the detection time is always a critical issue. Existing methods are hardly …

Coherent chord computation and cross ratio for accurate ellipse detection

M Zhao, X Jia, L Ma, LM Hu, DM Yan - Pattern Recognition, 2024 - Elsevier
This paper presents a new method for detecting ellipses in images, which has many
applications in pattern recognition and robotic tasks. Previous approaches typically use …

Region-based fitting of overlapping ellipses and its application to cells segmentation

C Panagiotakis, A Argyros - Image and Vision Computing, 2020 - Elsevier
We present RFOVE, a region-based method for approximating an arbitrary 2D shape with an
automatically determined number of possibly overlapping ellipses. RFOVE is completely …