Skip to main content
placeholder image

Design and implementation of edge detection algorithm in dsPIC embedded processor

Conference Paper


Download full-text (Open Access)

Abstract


  • The research presented here is an attempt to use a

    very basic, low cost and non-specialized microcontroller for

    image processing tasks. The applications emanating from such

    an attempt will result in inexpensive face detection, intelligent

    motion sensors to low cost vehicle counting systems. We have

    been able to develop a system based on Microchip dsPIC

    microcontroller that implements edge detection of still images.

    Hardware-based signal processors such as Texas Instrument

    DSP (Digital Signal Processing) or Field Gate Arrays (FPGA)

    are generally an expensive solution for image processing

    applications. On the other hand a conventional 8-bit

    microcontroller doesn’t have enough capability to handle

    memory intensive DSP algorithms. In this regard, Microchip

    offers a tradeoff between cost and performance. Although

    performance does not compete with TI DSPs or FPGAs, the

    proposed system yet provides a sound platform to perform

    Signal processing directly on embedded hardware. Our

    research presents a preliminary approach to perform any type

    of image processing task using microchip 16-bit

    Microcontrollers and 16-bit digital signal controllers. Even

    though this attempt is aimed at Edge Detection, the research

    opens up possibilities for numerous other algorithms of signal

    and image processing that can be implemented using the same

    low cost hardware.

UOW Authors


  •   Premaratne, Prashan
  •   Ajaz, Sabooh (external author)
  •   Monaragala, Ravi (external author)
  •   Bandara, Nalin (external author)
  •   Premaratne, Malin (external author)

Publication Date


  • 2010

Citation


  • Premaratne, P., Ajaz, S., Monaragala, R., Bandara, N. & Premaratne, M. 2010, ''Design and implementation of edge detection algorithm in dsPIC embedded processor'', in D. Dias (eds), International Conference on Harmonics and Quality of Power, IEEE Computational Intelligence Society, Colombo, Sri Lanka, pp. 8-13.

Scopus Eid


  • 2-s2.0-79952751090

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1575&context=engpapers

Ro Metadata Url


  • http://ro.uow.edu.au/engpapers/546

Start Page


  • 8

End Page


  • 13

Abstract


  • The research presented here is an attempt to use a

    very basic, low cost and non-specialized microcontroller for

    image processing tasks. The applications emanating from such

    an attempt will result in inexpensive face detection, intelligent

    motion sensors to low cost vehicle counting systems. We have

    been able to develop a system based on Microchip dsPIC

    microcontroller that implements edge detection of still images.

    Hardware-based signal processors such as Texas Instrument

    DSP (Digital Signal Processing) or Field Gate Arrays (FPGA)

    are generally an expensive solution for image processing

    applications. On the other hand a conventional 8-bit

    microcontroller doesn’t have enough capability to handle

    memory intensive DSP algorithms. In this regard, Microchip

    offers a tradeoff between cost and performance. Although

    performance does not compete with TI DSPs or FPGAs, the

    proposed system yet provides a sound platform to perform

    Signal processing directly on embedded hardware. Our

    research presents a preliminary approach to perform any type

    of image processing task using microchip 16-bit

    Microcontrollers and 16-bit digital signal controllers. Even

    though this attempt is aimed at Edge Detection, the research

    opens up possibilities for numerous other algorithms of signal

    and image processing that can be implemented using the same

    low cost hardware.

UOW Authors


  •   Premaratne, Prashan
  •   Ajaz, Sabooh (external author)
  •   Monaragala, Ravi (external author)
  •   Bandara, Nalin (external author)
  •   Premaratne, Malin (external author)

Publication Date


  • 2010

Citation


  • Premaratne, P., Ajaz, S., Monaragala, R., Bandara, N. & Premaratne, M. 2010, ''Design and implementation of edge detection algorithm in dsPIC embedded processor'', in D. Dias (eds), International Conference on Harmonics and Quality of Power, IEEE Computational Intelligence Society, Colombo, Sri Lanka, pp. 8-13.

Scopus Eid


  • 2-s2.0-79952751090

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1575&context=engpapers

Ro Metadata Url


  • http://ro.uow.edu.au/engpapers/546

Start Page


  • 8

End Page


  • 13