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  1. Research Outputs

Quest for Speed: The Epic Saga of Record-Breaking on OpenCV Connected Components Extraction

Conference Paper
Publication Date:
2022
Short description:
Quest for Speed: The Epic Saga of Record-Breaking on OpenCV Connected Components Extraction / Bolelli, Federico; Allegretti, Stefano; Grana, Costantino. - 13374:(2022), pp. 107-118. ( International Conference on Image Analysis and Processing, Binary is the New Black (and White) Workshop Lecce 23-27 May 2022) [10.1007/978-3-031-13324-4_10].
abstract:
Connected Components Labeling (CCL) represents an essential part of many Image Processing and Computer Vision pipelines. Given its relevance on the field, it has been part of most cutting-edge Computer Vision libraries. In this paper, all the algorithms included in the OpenCV during the years are reviewed, from sequential to parallel/GPU-based implementations. Our goal is to provide a better understanding of what has changed and why one algorithm should be preferred to another both in terms of memory usage and execution speed.
Iris type:
Relazione in Atti di Convegno
Keywords:
Connected Components Labeling; OpenCV;
List of contributors:
Bolelli, Federico; Allegretti, Stefano; Grana, Costantino
Authors of the University:
BOLELLI FEDERICO
GRANA Costantino
Handle:
https://iris.unimore.it/handle/11380/1285706
Full Text:
https://iris.unimore.it//retrieve/handle/11380/1285706/439726/2022_BNBW_Quest_for_Speed__The_Epic_Saga_of_Record_Breaking_on_OpenCV_Connected_Components_Extraction.pdf
Book title:
ICIAP 2022: Image Analysis and Processing. ICIAP 2022 Workshops
Published in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
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