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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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Submitted on : Wednesday, March 16, 2016 - 10:39:34 AM
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Jan Bartovsky, Eva Dokladalova, Petr Dokládal, Mohamed Akil. Efficient FPGA architecture for oriented 1-D opening and pattern spectrum. Image Processing (ICIP), 2012 19th IEEE International Conference on, Sep 2012, Orlando, FL, United States. ⟨10.1109/ICIP.2012.6467203⟩. ⟨hal-01289109⟩



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