Abstract
In this study, it is aimed to count the total amount in an image of coins using machine vision methods. The extrinsic parameters of the camera whose intrinsic parameters are already known are estimated relative to the plane on which the coins lie. Textural details are removed from the image using bilateral filtering and circles are detected. Reciprocal points from the detected circles are back projected using the estimated pose. By calculating the metric diameters of the detected coins, the coins are recognized and counted.
Translated title of the contribution | Coin recognition based on geometric features |
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Original language | Turkish |
Title of host publication | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1341 |
Number of pages | 1 |
ISBN (Electronic) | 9781467373869 |
DOIs | |
Publication status | Published - 19 Jun 2015 |
Externally published | Yes |
Event | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey Duration: 16 May 2015 → 19 May 2015 |
Publication series
Name | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
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Conference
Conference | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 |
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Country/Territory | Turkey |
City | Malatya |
Period | 16/05/15 → 19/05/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.