Conferencia

Abbate, H.A.; Gambini, J.; Delrieux, C.; Castro, E.H. "Landmine detection using IR image segmentation by means of fractal dimension analysis" (2009) Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV. 7303
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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
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
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
Volumen:7303
DOI: http://dx.doi.org/10.1117/12.819150
Título revista:Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV
Título revista abreviado:Proc SPIE Int Soc Opt Eng
ISSN:0277786X
CODEN:PSISD
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