Hardware implementation of a shape recognition algorithm based on invariant moments


Abstract:

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.

Año de publicación:

2019

Keywords:

  • Image moments
  • Fpga
  • Shape recognition
  • Finite state machine
  • Hu's moments
  • Digital image
  • Non-local means filter

Fuente:

scopusscopus
googlegoogle

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Visión por computadora
  • Algoritmo
  • Algoritmo

Áreas temáticas:

  • Ciencias de la computación
  • Métodos informáticos especiales
  • Instrumentos de precisión y otros dispositivos