Abstract:
This work is concerned with buried landmines detection by long wave infrared images obtained during the heating or cooling of the soil and a segmentation process of the images. The segmentation process is performed by means of a local fractal dimension analysis (LFD) as a feature descriptor. We use two different LFD estimators, box-counting dimension (BC), and differential box counting dimension (DBC). These features are computed in a per pixel basis, and the set of features is clusterized by means of the K-means method. This segmentation technique produces outstanding results, with low computational cost. © 2009 SPIE.
Registro:
Documento: |
Conferencia
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Título: | Landmine detection using IR image segmentation by means of fractal dimension analysis |
Autor: | Abbate, H.A.; Gambini, J.; Delrieux, C.; Castro, E.H. |
Ciudad: | Orlando, FL |
Filiación: | Facultad de Ingenieŕia, Universidad de Buenos Aires, Buenos Aires, Argentina Dpto. de Computacíon, FCEyN, Universidad de Buenos Aires, Buenos Aires, Argentina Dpto. de Ingenieŕia Electrica y Computadoras, Universidad Nacional del Sur, Bah́ia Blanca, Argentina
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Palabras clave: | Classification; Fractal dimension; Infrared imagery; Segmentation; Box-counting dimension; Buried landmines; Classification; Computational costs; Feature descriptors; Fractal dimension analysis; Infrared imagery; IR images; K-means method; Land mine detection; Local fractal dimension; Long wave infrared; Segmentation; Segmentation process; Segmentation techniques; Bombs (ordnance); Explosives; Image segmentation; Infrared imaging; Mining; Partial discharges; Fractal dimension |
Año: | 2009
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Volumen: | 7303
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DOI: |
http://dx.doi.org/10.1117/12.819150 |
Título revista: | Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV
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Título revista abreviado: | Proc SPIE Int Soc Opt Eng
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ISSN: | 0277786X
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CODEN: | PSISD
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Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0277786X_v7303_n_p_Abbate |
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Citas:
---------- APA ----------
Abbate, H.A., Gambini, J., Delrieux, C. & Castro, E.H.
(2009)
. Landmine detection using IR image segmentation by means of fractal dimension analysis. Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV, 7303.
http://dx.doi.org/10.1117/12.819150---------- CHICAGO ----------
Abbate, H.A., Gambini, J., Delrieux, C., Castro, E.H.
"Landmine detection using IR image segmentation by means of fractal dimension analysis"
. Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV 7303
(2009).
http://dx.doi.org/10.1117/12.819150---------- MLA ----------
Abbate, H.A., Gambini, J., Delrieux, C., Castro, E.H.
"Landmine detection using IR image segmentation by means of fractal dimension analysis"
. Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV, vol. 7303, 2009.
http://dx.doi.org/10.1117/12.819150---------- VANCOUVER ----------
Abbate, H.A., Gambini, J., Delrieux, C., Castro, E.H. Landmine detection using IR image segmentation by means of fractal dimension analysis. Proc SPIE Int Soc Opt Eng. 2009;7303.
http://dx.doi.org/10.1117/12.819150