Adaptive edge detection with directional wavelet transform

Authors:
Dusan Heric;Damjan Zazula
Affiliations:
Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia;Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia
Venue:
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
Year:
2005

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Abstract

This paper presents adaptive edge detector using a novel directional wavelet transform. The proposed algorithm has two stages: a) directional wavelet transform and b) edge detection on space-scale-directional plane with maximum entropy measure. Preliminary results with synthetic images show that directional wavelet transforms gives excellent results. The proposed method was tested on synthetic images at different signal-to-noise ratios (SNRs) and visually assessed on medical image. We assessed its reliability, accuracy and robustness using the mean absolute distance (MAD) metrics.