Hardware implementation of a shape recognition algorithm based on invariant moments

Clement Raffaitin, Juan Sebastian Romero, Juan Sebastian Romero, Luis Miguel Procel

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

The present work shows the description of a simple fast shape detection algorithm and its implementation in hardware in a FPGA system. The detection algorithm is based on the concepts of Hús moments which are invariant to similarity transformations. The recognition algorithm is implemented by using a non-local means filter. The algorithm is implemented on a FPGA system by using a hardware description language. We present the different design stages of the algorithm implementation which is based on the finite state machine technique. This algorithm is able to recognize a target shape over a test image. Furthermore, this work, describes the advantages of the implementation in hardware, such as speed and parallelism in signal processing. Finally, we show some results of the implementation of this algorithm.

Idioma originalInglés
Título de la publicación alojadaProceedings - 32nd Symposium on Integrated Circuits and Systems Design, SBCCI 2019
EditorialAssociation for Computing Machinery, Inc
ISBN (versión digital)9781450368445
DOI
EstadoPublicada - 26 ago. 2019
Evento32nd Symposium on Integrated Circuits and Systems Design, SBCCI 2019 - Sao Paulo, Brasil
Duración: 26 ago. 201930 ago. 2019

Serie de la publicación

NombreProceedings - 32nd Symposium on Integrated Circuits and Systems Design, SBCCI 2019

Conferencia

Conferencia32nd Symposium on Integrated Circuits and Systems Design, SBCCI 2019
País/TerritorioBrasil
CiudadSao Paulo
Período26/08/1930/08/19

Huella

Profundice en los temas de investigación de 'Hardware implementation of a shape recognition algorithm based on invariant moments'. En conjunto forman una huella única.

Citar esto