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

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 recent...

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Bibliographic Details
Main Authors: Bartovsky, J., Dokladalova, E., Dokladal, P., Akil, M.
Format: Conference Proceeding
Language:English
Subjects:
Computer architecture
Feature extraction
Field programmable gate arrays
granulometry
Hardware
hardware implementation
Materials
mathematical morphology
Morphology
opening
pattern spectrum
Signal processing algorithms
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Summary: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.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2012.6467203