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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Communication dans un congrès
Image Processing (ICIP), 2012 19th IEEE International Conference on, Oct 2012, Orlando, FL, United States. 〈10.1109/ICIP.2012.6467203〉
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https://hal-upec-upem.archives-ouvertes.fr/hal-01289109
Contributeur : Eva Dokladalova <>
Soumis le : mercredi 16 mars 2016 - 10:39:34
Dernière modification le : mardi 12 septembre 2017 - 11:41:11

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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, Oct 2012, Orlando, FL, United States. 〈10.1109/ICIP.2012.6467203〉. 〈hal-01289109〉

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