A simple algorithm for automated skin lesion border detection

  • Authors:

  • P. Tzekis;A. Papastergiou;A. Hatzigaidas;Z. Zaharis;D. Kampitaki;P. Lazaridis;M. Goula

  • Affiliations:

  • Department of Sciences, Faculty of Mathematics, Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Greece;Department of Electronics, Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Greece;Department of Electronics, Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Greece;Department of Electronics, Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Greece;Department of Electronics, Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Greece;Department of Electronics, Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Greece;Department of Aesthetics, Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Greece

  • Venue:
  • WSEAS Transactions on Signal Processing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Prompt diagnosis is the most reliable solution for an effective treatment of melanoma. There is an ongoing research for providing computer-aided imaging tools in order to support the early detection and diagnosis of malignant melanomas. The first step towards producing such a diagnosis system is the automated and accurate boundary detection of skin lesion. Therefore, the present study introduces a new, simple, and very fast algorithm that has the ability to detect effectively and automatically the border of potential melanoma. The complexity of the proposed algorithm is O(√N), and thus the execution time, is dramatically minimized.