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

Jan Bartovsky (1, 2) , Eva Dokladalova (1) , Petr Dokládal (3) , Mohamed Akil (4)

1 LIGM - Laboratoire d'Informatique Gaspard-Monge
2 Faculty of Electrical Engineering
3 CMM - Centre de Morphologie Mathématique
4 Algorithms, architectures, image analysis and computer graphics

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.

Mots clés: Sequential data; Pattern spectrum; Morphological opening; Hardware implementations; FPGA architectures; Granulometries; Dedicated hardware; Dataflow; Single input; Texture classification; Image processing; Industrial applications; Mathematical morphology; Hardware

Domaines: Architectures Matérielles [cs.AR]

Jan Bartovsky, Eva Dokladalova, Petr Dokládal, Mohamed Akil. Efficient FPGA architecture for oriented 1-D opening and pattern spectrum. 19th IEEE International Conference on Image Processing (ICIP), Sep 2012, Orlando, Florida, United States. pp.1689-1692. ⟨hal-00789851⟩