Automated structural design of shear wall structures based on modified genetic algorithm and prior knowledge

X Zhou, L Wang, J Liu, G Cheng, D Chen… - Automation in Construction, 2022 - Elsevier
Shear wall layout requires repetitive revisions and checks by an experienced designer,
which is very time-consuming and inefficient. Therefore, an automated and effective …

A FPGA-based architecture for real-time cluster finding in the LHCb silicon pixel detector

G Bassi, L Giambastiani, K Hennessy… - … on Nuclear Science, 2023 - ieeexplore.ieee.org
This article describes a custom [very high speed integrated circuits (VHSIC) hardware
description language (VHDL)] firmware implementation of a 2-D cluster-finder architecture …

An efficient hardware-oriented single-pass approach for connected component analysis

F Spagnolo, S Perri, P Corsonello - Sensors, 2019 - mdpi.com
Connected Component Analysis (CCA) plays an important role in several image analysis
and pattern recognition algorithms. Being one of the most time-consuming tasks in such …

Scan-flood fill (SCAFF): An efficient automatic precise region filling algorithm for complicated regions

Y He, T Hu, D Zeng - … of the IEEE/CVF Conference on …, 2019 - openaccess.thecvf.com
Recently, instant level labeling for supervised machine learning requires a considerable
number of filled masks. In this paper, we propose an efficient automatic region filling …

Real-time FPGA implementation of parallel connected component labelling for a 4K video stream

M Kowalczyk, P Ciarach, D Przewlocka-Rus… - Journal of Signal …, 2021 - Springer
In this paper, a hardware implementation in reconfigurable logic of a single-pass connected
component labelling (CCL) and connected component analysis (CCA) module is presented …

[HTML][HTML] A Segmentation-Based Automated Corneal Ulcer Grading System for Ocular Staining Images Using Deep Learning and Hough Circle Transform

D Manawongsakul, K Patanukhom - Algorithms, 2024 - mdpi.com
Corneal ulcer is a prevalent ocular condition that requires ophthalmologists to diagnose,
assess, and monitor symptoms. During examination, ophthalmologists must identify the …

A parallel connected component labeling architecture for heterogeneous systems-on-chip

S Perri, F Spagnolo, P Corsonello - Electronics, 2020 - mdpi.com
Connected component labeling is one of the most important processes for image analysis,
image understanding, pattern recognition, and computer vision. It performs inherently …

A memory-efficient hardware architecture for connected component labeling in embedded system

C Zhao, W Gao, F Nie - … on Circuits and Systems for Video …, 2019 - ieeexplore.ieee.org
In this paper, we introduce a hardware architecture to accelerate connected component
labeling (CCL) for embedded systems. The proposed CCL architecture scans the given …

A low-latency multi-touch detector based on concurrent processing of redesigned overlap split and connected component analysis

BY Kong, J Lee, IC Park - … transactions on circuits and systems I …, 2019 - ieeexplore.ieee.org
A low-latency multi-touch detector architecture for locating numerous touches in large-panel
devices is presented in this paper. Two respective processors for the overlap split and the …

A provisional labels-reduced, real-time connected component labeling algorithm for edge hardware

H Zhou, R Dou, L Cheng, J Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Connected component labeling (CCL) is an important operation in computer vision tasks,
widely used for real-time image processing on edge hardware. The existing connected …