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.
Type de document :
Communication dans un congrès
19th IEEE International Conference on Image Processing (ICIP), Sep 2012, Lake Buena Vista, United States. IEEE, pp.1689-1692, 2012, 〈10.1109/ICIP.2012.6467203〉
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https://hal-upec-upem.archives-ouvertes.fr/hal-00789851
Contributeur : Eva Dokladalova <>
Soumis le : lundi 18 février 2013 - 21:32:21
Dernière modification le : vendredi 27 octobre 2017 - 17:36:02

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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, Lake Buena Vista, United States. IEEE, pp.1689-1692, 2012, 〈10.1109/ICIP.2012.6467203〉. 〈hal-00789851〉

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