Border Detection of Skin Lesions on a Single System on Chip

  • Peyman Sabouri
  • Hamid GholamHosseini
  • John Collins
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 260)

Abstract

High speed image processing is becoming increasingly important in medical imaging. Using the state-of-the-art ZYNQ-7000 system on chip (SoC) has made it possible to design powerful vision systems running software on an ARM processor and accelerating it from hardware resources on a single chip. In this paper, we take the advantage of accelerating an embedded system design on a single SoC, which offers the required features for real-time processing of skin cancer images. Different edge detection approaches such as Sobel, Kirsch, Canny and LoG have been implemented on ZYNQ-7000 for border detection of skin lesions, which can be used in early diagnosis of melanoma. The results show that the extended 5 × 5 canny edge detection implemented on the proposed embedded platform has better performance in compare with other reported methods. The performance evaluation of this approach has shown good processing time of 60 fps for real time applications.

Keywords

Border detection Edge detection ZYNQ-7000 Medical imaging 

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Peyman Sabouri
    • 1
  • Hamid GholamHosseini
    • 1
  • John Collins
    • 1
  1. 1.Department of Electrical and Electronics EngineeringAuckland University of TechnologyAucklandNew Zealand

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