TY - GEN
T1 - Hardware implementation of a shape recognition algorithm based on invariant moments
AU - Raffaitin, Clement
AU - Romero, Juan Sebastian
AU - Romero, Juan Sebastian
AU - Procel, Luis Miguel
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/8/26
Y1 - 2019/8/26
N2 - 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.
AB - 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.
KW - Digital image
KW - FPGA
KW - Finite state machine
KW - Hu's moments
KW - Image moments
KW - Non-local means filter
KW - Shape recognition
UR - https://www.scopus.com/pages/publications/85073415102
U2 - 10.1145/3338852.3339872
DO - 10.1145/3338852.3339872
M3 - Contribución a la conferencia
AN - SCOPUS:85073415102
T3 - Proceedings - 32nd Symposium on Integrated Circuits and Systems Design, SBCCI 2019
BT - Proceedings - 32nd Symposium on Integrated Circuits and Systems Design, SBCCI 2019
PB - Association for Computing Machinery, Inc
T2 - 32nd Symposium on Integrated Circuits and Systems Design, SBCCI 2019
Y2 - 26 August 2019 through 30 August 2019
ER -