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

Abstract : 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.
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Contributor : Eva Dokladalova Connect in order to contact the contributor
Submitted on : Monday, February 18, 2013 - 9:32:21 PM
Last modification on : Saturday, January 15, 2022 - 3:58:00 AM


  • HAL Id : hal-00789851, version 1


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⟩



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