Proceedings of the International Conference
I W S S I P   2005
12th INTERNATIONAL WORKSHOP ON SYSTEMS, SIGNALS & IMAGE PROCESSING

22 - 24 September 2005, Chalkida Greece
 
(from Chapter 1: Invited Addresses and Tutorials on Signals, Coding, Systems and Intelligent Techniques)

 Full Citation and Abstract

0 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
Dusan.heric @ uni-mb.si
  Reference: SSIP-SP1, 2005  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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