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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Heric, D. Potocnik, B. |
| Copyright Year | 2006 |
| Description | Author affiliation: Syst. Software Lab., Maribor Univ. (Heric, D.; Potocnik, B.) |
| Abstract | The purpose of this paper is to introduce an novel edge detector using directional wavelet transform and signal registration. Directional wavelet transform decomposes an image into four-dimensional space which augments the image by the scale and directional information. We show the directional information significantly improves edge detection in noisy images in comparison with the classical multiscale edge detector, and enables more reliable edge tracing along an object boundary. Edge detection is based on the modulus maximum principle with an adaptive threshold whose value is calculated via maximum entropy measure. Edge tracing is done with signal alignment between neighbour edges |
| Starting Page | 37 |
| Ending Page | 40 |
| File Size | 4306130 |
| Page Count | 4 |
| File Format | |
| ISBN | 9537044033 |
| ISSN | 13342630 |
| DOI | 10.1109/ELMAR.2006.329509 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-07 |
| Publisher Place | Croatia |
| Access Restriction | Subscribed |
| Rights Holder | ELMAR-CROATIAN SOCIETY ELECTRONICS IN |
| Subject Keyword | Wavelet transforms Image registration Image edge detection Laboratories Entropy Discrete wavelet transforms Computer science Wavelet Transform Image Registration Detectors Object detection System software Edge detection Edge Tracing |
| Content Type | Text |
| Resource Type | Article |
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