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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6499| Title: | An Optimal Scale for Edge Detection |
| Issue Date: | 9-Oct-2013 |
| Description: | Many problems in early vision are ill posed. Edge detection is a typical example. This paper applies regularization techniques to the problem of edge detection. We derive an optimal filter for edge detection with a size controlled by the regularization parameter $\\ lambda $ and compare it to the Gaussian filter. A formula relating the signal-to-noise ratio to the parameter $\\lambda $ is derived from regularization analysis for the case of small values of $\\lambda$. We also discuss the method of Generalized Cross Validation for obtaining the optimal filter scale. Finally, we use our framework to explain two perceptual phenomena: coarsely quantized images becoming recognizable by either blurring or adding noise. |
| URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
| Other Identifiers: | AIM-1078 http://hdl.handle.net/1721.1/6499 |
| Appears in Collections: | MIT Items |
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