Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/19662| Title: | Line tracking algorithm for scribbled drawings |
| Authors: | Bartolo, Alexandra Camilleri, Kenneth P. Fabri, Simon G. Borg, Jonathan C. |
| Keywords: | Control theory Photocopying Signal processing |
| Issue Date: | 2008 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Citation: | Bartolo, A., Camilleri, K. P., Fabri, S. G., & Borg, J. C. (2008). Line tracking algorithm for scribbled drawings. 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008, St. Julians. 554-559. |
| Abstract: | This paper describes a line tracking algorithm that may be used to extract lines from paper based scribbles. The proposed algorithm improves the performance of existing sparse-pixel line tracking techniques that are used in vectorization by introducing perceptual saliency and Kalman filtering concepts to the line tracking. Furthermore, an adaptive sampling size is used such that it is possible to adjust the size of the tracking step to reflect the stroke curvature. |
| URI: | https://www.um.edu.mt/library/oar//handle/123456789/19662 |
| Appears in Collections: | Scholarly Works - FacEngIME Scholarly Works - FacEngSCE |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| OA Conference paper - Line tracking algorithm for scribbled drawings (1).pdf | 1.8 MB | Adobe PDF | View/Open |
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