Chapter 1: Invited Addresses and Tutorials on Signals, Coding,
  Systems and Intelligent Techniques

Title: Scale Adaptive Edge Detection using Maximum Entropy

Author(s): Dušan Heric, Damjan Zazula

Address: University of Maribor Faculty of Electrical Engineering and Computer Science Maribor, Slovenia | University of Maribor Faculty of Electrical Engineering and Computer Science Maribor, Slovenia

Reference: 12th International Workshop on Systems, Signals and Image Processing pp. 463 - 466

Abstract/Summary: This paper presents an edge detection algorithm, using Haar wavelet transform with the maximum entropy thresholding technique on time-scale plane. The method was tested on 100 synthetic images at different signal-to-noise ratios (SNRs) and 7 clinical images. We assessed its reliability, accuracy and robustness using the MAD metric. The result for MAD on synthetic images yield MAD equal 0.7±0.14 and for clinical images give MAD equal 1.36±0.36 (mean±std).

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