Efficient FPGA architecture for oriented 1-D opening and pattern spectrum

Autor: Jan Bartovsky, Mohamed Akil, Eva Dokladalova, Petr Dokládal
Přispěvatelé: Laboratoire d'Informatique Gaspard-Monge (LIGM), Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM), Centre de Morphologie Mathématique (CMM), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique (CNRS), Mines Paris - PSL (École nationale supérieure des mines de Paris), Faculty of Electrical Engineering, University of West Bohemia [Plzeň ], Algorithms, architectures, image analysis and computer graphics, Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM)-Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM), Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique (CNRS), Dokladalova, Eva
Rok vydání: 2012
Předmět:
[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]
[INFO.INFO-AR] Computer Science [cs]/Hardware Architecture [cs.AR]
Texture classification
Dataflow
Computer science
Feature extraction
Granulometries
Image processing
0102 computer and information sciences
02 engineering and technology
Mathematical morphology
01 natural sciences
granulometry
Image texture
FPGA architectures
0202 electrical engineering
electronic engineering
information engineering
hardware
Sequential data
mathematical morphology
Computer vision
implementation
Hardware implementations
Hardware architecture
Single input
Contextual image classification
Morphological opening
business.industry
Industrial applications
opening
Dedicated hardware
010201 computation theory & mathematics
020201 artificial intelligence & image processing
Artificial intelligence
business
pattern spectrum
Opening
Computer hardware
Zdroj: ICIP
Image Processing (ICIP), 2012 19th IEEE International Conference on
Image Processing (ICIP), 2012 19th IEEE International Conference on, Sep 2012, Orlando, FL, United States. ⟨10.1109/ICIP.2012.6467203⟩
HAL
19th IEEE International Conference on Image Processing (ICIP)
19th IEEE International Conference on Image Processing (ICIP), Sep 2012, Orlando, Florida, United States. pp.1689-1692
Popis: ISBN du volume : 978-146732533-2; International audience; This paper deals with a dedicated hardware architecture for 1-D morphological opening and pattern spectrum. These operators allow extraction and measurement of 1-D features in images that is a commonly used technique in image analysis and texture classification. The architecture is based on a recently proposed opening algorithm and makes it possible to obtain arbitrary-oriented opening and granulometry at the same time. Respecting a sequential data access, several instances with different orientation can run in parallel on a single input dataflow, increasing thus the performance (experimentally 414 Mpx/s per opening). It opens applicability of traditionally costly operators in embedded, industrial applications.
Databáze: OpenAIRE
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