DocumentCode :
3590691
Title :
A review of world´s fastest connected component labeling algorithms: Speed and energy estimation
Author :
Cabaret, Laurent ; Lacassagne, Lionel ; Oudni, Louiza
Author_Institution :
Lab. de Rech. en Inf., Univ. Paris Sud, Orsay, France
fYear :
2014
Firstpage :
1
Lastpage :
6
Abstract :
Optimizing connected component labeling is currently a very active research field. The current most effective algorithms although close in their design are based on different memory/computation trade-offs. This paper presents a review of these algorithms and a detailed benchmark on several Intel and ARM embedded processors that allows to focus on their advantages and drawbacks and to highlight how processor architecture impact them.
Keywords :
computer architecture; embedded systems; image processing; ARM embedded processor; Intel embedded processor; energy estimation; fastest connected component labeling algorithm; processor architecture; speed estimation; Algorithm design and analysis; Benchmark testing; Labeling; Memory management; Prediction algorithms; Program processors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design and Architectures for Signal and Image Processing (DASIP), 2014 Conference on
Type :
conf
DOI :
10.1109/DASIP.2014.7115641
Filename :
7115641
Link To Document :
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