| Title: | Automated landmark points detection by using a mixture of approaches : the vole-teeth case |
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| Authors: | ID Potočnik, Božidar (Author) |
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| Files: |  http://link.springer.com/article/10.1007/s11760-012-0414-1#
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| Language: | English |
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| Work type: | Not categorized |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| Abstract: | This paper deals with the automated detection of a closed curvećs dominant points. We treat a curve as a 1-D function of the arc length. The problem of detecting dominant points is translated into seeking the extrema of the corresponding 1-D function. Three approaches for automated dominant points detection are presented: (1) an approach based on fitting polynomial, (2) an approach using 1-D computer registration and (3) an innovative approach based on a multi-resolution scheme, zero-crossing and hierarchical clustering. Afterwards, two methods are introduced based on the linearly and non-linearly mixing the results from the three approaches. We then mix the results in a mean-square error sense by using the linear and non-linear fittings, respectively. We experimentally demonstrate the problem of detecting 21 landmarks on 38 vole-teeth that by mixing, the detection accuracy is improved by up to 41.47 % with respect to the results for individual approaches, as applied within the mixture. |
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| Keywords: | closed curve, dominant point, landmark, automated detection, mixing model fitting, vole-tooth |
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| Year of publishing: | 2015 |
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| Number of pages: | str. 93-104 |
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| Numbering: | Vol. 9, no. 1 |
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| PID: | 20.500.12556/DKUM-50240  |
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| UDC: | 004.93 |
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| ISSN on article: | 1863-1703 |
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| COBISS.SI-ID: | 16578070 |
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| DOI: | 10.1007/s11760-012-0414-1 |
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| NUK URN: | URN:SI:UM:DK:DRHRWZEL |
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| Publication date in DKUM: | 10.07.2015 |
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| Views: | 1649 |
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| Downloads: | 34 |
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| Metadata: |    |
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| Categories: | Misc.
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