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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Govindarajan, B. Panetta, K.A. Agaian, S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electr. Eng., Tufts Univ., Medford, MA (Govindarajan, B.; Panetta, K.A.) || Dept. of Electr. Eng., Univ. of Texas at San Antonio, San Antonio, TX (Agaian, S.) |
| Abstract | Extraction of the edges is a key step in image processing and there is still a continuing research effort to develop new and effective edge detection algorithms. Despite this fact, there is no single, reliable and efficient metric to evaluate the quality of an edge detector. We introduce an original method for image reconstruction that leads to edge evaluation based on image estimation. A new quantitative metric for assessment of the performance of the edge detector is also presented. The operation of the measure is established on a diverse image database using standard edge detection algorithms and the one based on partial derivatives of Boolean functions. The uses of the measure for an assortment of purposes are demonstrated and these are backed by visual assessment as well as some distance-based error functions applied on synthetic images. |
| Starting Page | 691 |
| Ending Page | 696 |
| File Size | 867034 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424423835 |
| ISSN | 1062922X |
| DOI | 10.1109/ICSMC.2008.4811358 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-12 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image edge detection Image reconstruction Quality assessment Detectors Signal processing algorithms Image databases Interpolation Image processing Measurement standards Boolean functions structural similarity Edge evaluation detector parameters image reconstruction weighted median interpolation quality measure |
| Content Type | Text |
| Resource Type | Article |
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