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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sugiyama, T. Abe, K. |
| Copyright Year | 2000 |
| Description | Author affiliation: Fac. of Inf., Shizuoka Univ., Hamamatsu, Japan (Sugiyama, T.) |
| Abstract | This paper proposes a robust method of detecting edge points by thresholding edge reliability with fixed threshold values. Traditionally edge detection is done by thresholding edge height. One crucial problem is that the threshold is determined ad hoc for the given input image. We use edge reliability instead of edge height, and show that two fixed thresholds work well. In our previous paper (1996) we proposed an edge vector extractor and stated the necessity of a measure, edge reliability, which can discriminate a low but steady edge from a noisy edge of large edge height. Our idea of extracting edge points is to detect points which are neither in a uniform region nor in a gradational region. The two detection thresholds, /spl radic/2//spl pi/ and /spl radic/3/4, are derived from the analysis of edge reliability in uniform regions and gradational regions contaminated by white Gaussian noises, respectively. Experiments show that our method can detect edge points stably, discriminating them from the points in uniform or gradational regions influenced by noises. |
| Starting Page | 656 |
| Ending Page | 659 |
| File Size | 412238 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769507506 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2000.903630 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-09-03 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image edge detection Feature extraction Filters Detectors Robustness Pollution measurement Gaussian noise Humans Layout Computer vision |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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