Landmine detection using IR image segmentation by means of fractal dimension analysis
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...
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| Formato: | Acta de conferencia Capítulo de libro |
| Lenguaje: | Inglés |
| Publicado: |
2009
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| Acceso en línea: | Registro en Scopus DOI Handle Registro en la Biblioteca Digital |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
| LEADER | 09898caa a22010817a 4500 | ||
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| 001 | PAPER-8504 | ||
| 003 | AR-BaUEN | ||
| 005 | 20230518203818.0 | ||
| 008 | 190411s2009 xx ||||fo|||| 10| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-69649093435 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 030 | |a PSISD | ||
| 100 | 1 | |a Abbate, H.A. | |
| 245 | 1 | 0 | |a Landmine detection using IR image segmentation by means of fractal dimension analysis |
| 260 | |c 2009 | ||
| 270 | 1 | 0 | |m Abbate, H. A.; Facultad de Ingenieŕia, Universidad de Buenos Aires, Buenos Aires, Argentina; email: habbate@fi.uba.ar |
| 506 | |2 openaire |e Política editorial | ||
| 504 | |a Nanda, H., Davis, L., Probabilistic template based pedestrian detection in infrared videos (2002) Proc. Intell. Vehicles Sympl. | ||
| 504 | |a Viola, P., M., J., S., D., Detecting pedestrian using patterns of motions and appearance (2003) Proc. IEEE Conf. Computer Vision | ||
| 504 | |a Xu, F., Fujimura, K., Pedestrian detection and tracking with night vision (2002) Proc. Intell. Vehicles Symp. | ||
| 504 | |a Dai, C., Zheng, Y., Li, X., Layered representation for pedestrian detection and tracking in infrared imagery (2005) Computer Vision and Pattern Recognition, IEEE Computer Society Conference, pp. 13-20. , June | ||
| 504 | |a Wilder, J., Phillips, P.J., Jiang, C., Wiener, S., Comparison of visible and infra-red imagery for face recognition (1996) Proceedings of 2nd International Conference on Automatic Face and Gesture Recognition, Killington, VT, pp. 182-187 | ||
| 504 | |a Socolinsky, D.A., Selinger, A., A comparative analysis of face recognition performance with visible and thermal infrared imagery (2002) Proceedings ICPR, , August | ||
| 504 | |a Socolinsky, D., Selinger, A., Face recognition with visible and thermal infrared imager (2003) Computer Vision and Image Understanding, , July | ||
| 504 | |a Siegert, F., Zhukov, B., Oertel, D., Limin, S., Page, S., Rielay, O., Peat fires detected by the bird satellite (2004) International Journal of Remote Sensing | ||
| 504 | |a Hoegner, L., Stilla, U., Texture extraction for building models from ir sequences of urban areas (2007) IEEE Urban Remote Sensing Joint Event, pp. 1-6. , April | ||
| 504 | |a Castro, E., Abbate, H., Constanzo, M., Gambini, J., Mejai, M., Berlĺes, J.J., Santos, J., Borenstejn, P., Processed infrared images of plastic and metallic landmines in an argentine project (2007) SPIE CDefense and Security symposium, Detection and Remediation Technologies for Mines and Minelike Targets XII, 6553, , April | ||
| 504 | |a Castro, E.H., Abbate, H., Mallaina, E., Santos, J.M., M. Mejail, P.B., Berlles, J.J., Thermographic detection of buried objects (2005) Proceedings SPIE, Vol.5782, pp. 145-152 | ||
| 504 | |a Gambini, J., Mejail, M., Buemi, M., Castro, E., Abbate, H., Berlĺes, J.J., Santos, J., Landmine detection using b-spline deformable contours in ir images (2007) SPIE, Defense and Security symposium. Detection and Remediation Technologies for Mines and Minelike Targets XII, 6553, , April | ||
| 504 | |a Peitgen, H.O., Saupe, D., (1986) The Science of Fractal Images, , Springer-Verlag | ||
| 504 | |a Mandelbrot, B., Van Ness, J., Fractional brownian motion, fractional noises and applications (1983) Siam Review, 10, pp. 422-437 | ||
| 504 | |a Mandelbrot, B., (1983) The Fractal Geometry of Nature, , W. H. Freeman | ||
| 504 | |a Peli, T., Multiscale fractal theory and object characterization (1990) Journal of the Optical Society of America, 7 (6), pp. 1113-1123 | ||
| 504 | |a Keller, T., Texture description and segmentation through fractal geometry (1989) Computer Vision, Graphics and Image Processing, 45, pp. 150-166 | ||
| 504 | |a Dennis, T., Dessiripis, N., Fractal modelling in image texture and analysis (1989) IEEE Proceedings, 136F(5), , IEEE | ||
| 504 | |a Liu, Y., Li, Y., Image feature extraction and segmentation using fractal dimension (1997) International Conference on Information and Signal Processing, pp. 975-979. , IEEE, Sept | ||
| 504 | |a Berizzi, F., Dalle-Mese, E., Fractal analysis of the signal scattered from the sea surface (1999) IEEE Trans. Antennas and Propagation, 47, (2), pp. 324-338 | ||
| 504 | |a Martorella, M., Berizzi, F., Dalle-Mese, E., On the fractal dimension of sea surface backscattered signal at low grazing angle (2004) IEEE Trans. Antennas and Propagation, 52, (5), pp. 324-338 | ||
| 504 | |a Blackledge, J., Fowler, E., Fractal dimensions segmentation of synthetic aperture radar images (1992) International Conference on Image Processing and its Applications, pp. 445-449. , IEEE | ||
| 504 | |a Du, G., Yeo, T.S., A novel multifractal estimation method and its application to remote image segmentation (2002) IEEE Trans. Geosci. Remote Sensing, 40, pp. 980-982 | ||
| 504 | |a Gambini, M.J., Mejail, M., Jacobo-Berlles, J., Delrieux, C., SAR images segmentation through bspline deformable contours and fractal dimension (2004) International Society for Photogrammetry and Remote Sensing, ISPRS04 | ||
| 504 | |a Gambini, J., Mejail, M., Berlĺes, J.J., Frery, A., Accuracy of local edge detection in speckled imagery (2008) Statistics & Computing, 18 (1), pp. 15-26 | ||
| 504 | |a Schavemaker, J., Cremer, F., Schutte, K., Den Breejen, E., (2000) Infrared Processing and Sensor Fusion for Anti-Personnel Land-Mine Detection | ||
| 504 | |a Janssen, Y.H., De Jong, A.Ñ., Winkel, H., Van Putten, F.J., Detection of surface-laid and buried mines with IR and CCD cameras: An evaluation based on measurements (1996) Proc. SPIE Vol. 2765, p. 448- 459, Detection and Remediation Technologies for Mines and Minelike Targets, pp. 448-459. , Abinash C. Dubey; Robert L. Barnard; Colin J. Lowe; John E. McFee; Eds.], Dubey, A. C., Barnard, R. L., Lowe, C. J., and McFee, J. E., eds., May | ||
| 504 | |a Falconer, K., (1990) Fractal Geometry: Mathematical Foundations and Applications, , John Wiley & Sons, Chichester, England | ||
| 504 | |a Chen, S., Keller, J., Crownover, R., On the calculation of fractal features from images (1993) Pattern Analysis and Machine Intelligence, 15, (10), pp. 1087-1090 | ||
| 504 | |a Wang, L.S., Bai, J., Threshold selection by clustering gray levels of boundary (1983) Pattern Recognition Letters, 24(12), , 2003 | ||
| 504 | |a Sakar, N., Chaudhuri, B., An efficient differencial box-counting approach to compute fractal dimension of image (1994) IEEE Trans. on Systems Man and Cybernetics, 24, (1), pp. 72-76 | ||
| 504 | |a Chaudhuri, B., Sakar, N., Texture segmentation using fractal dimension (1995) IEEE Trans. Pattern Anal. Machine Intell, 25, (17), pp. 72-76 | ||
| 504 | |a Hsiao John, Y., Sawchuk Alexander, A., Supervised textured image segmentation using feature smoothing and probabilistic relaxation techniques (1989) IEEE Transactions on Pattern Analysis and Machine Intelligence, 11 (12), pp. 1279-1292. , DOI 10.1109/34.41366A4 - The International Society for Optical Engineering (SPIE) | ||
| 520 | 3 | |a 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. |l eng | |
| 593 | |a Facultad de Ingenieŕia, Universidad de Buenos Aires, Buenos Aires, Argentina | ||
| 593 | |a Dpto. de Computacíon, FCEyN, Universidad de Buenos Aires, Buenos Aires, Argentina | ||
| 593 | |a Dpto. de Ingenieŕia Electrica y Computadoras, Universidad Nacional del Sur, Bah́ia Blanca, Argentina | ||
| 690 | 1 | 0 | |a CLASSIFICATION |
| 690 | 1 | 0 | |a FRACTAL DIMENSION |
| 690 | 1 | 0 | |a INFRARED IMAGERY |
| 690 | 1 | 0 | |a SEGMENTATION |
| 690 | 1 | 0 | |a BOX-COUNTING DIMENSION |
| 690 | 1 | 0 | |a BURIED LANDMINES |
| 690 | 1 | 0 | |a CLASSIFICATION |
| 690 | 1 | 0 | |a COMPUTATIONAL COSTS |
| 690 | 1 | 0 | |a FEATURE DESCRIPTORS |
| 690 | 1 | 0 | |a FRACTAL DIMENSION ANALYSIS |
| 690 | 1 | 0 | |a INFRARED IMAGERY |
| 690 | 1 | 0 | |a IR IMAGES |
| 690 | 1 | 0 | |a K-MEANS METHOD |
| 690 | 1 | 0 | |a LAND MINE DETECTION |
| 690 | 1 | 0 | |a LOCAL FRACTAL DIMENSION |
| 690 | 1 | 0 | |a LONG WAVE INFRARED |
| 690 | 1 | 0 | |a SEGMENTATION |
| 690 | 1 | 0 | |a SEGMENTATION PROCESS |
| 690 | 1 | 0 | |a SEGMENTATION TECHNIQUES |
| 690 | 1 | 0 | |a BOMBS (ORDNANCE) |
| 690 | 1 | 0 | |a EXPLOSIVES |
| 690 | 1 | 0 | |a IMAGE SEGMENTATION |
| 690 | 1 | 0 | |a INFRARED IMAGING |
| 690 | 1 | 0 | |a MINING |
| 690 | 1 | 0 | |a PARTIAL DISCHARGES |
| 690 | 1 | 0 | |a FRACTAL DIMENSION |
| 700 | 1 | |a Gambini, J. | |
| 700 | 1 | |a Delrieux, C. | |
| 700 | 1 | |a Castro, E.H. | |
| 711 | 2 | |c Orlando, FL |d 13 April 2009 through 17 April 2009 |g Código de la conferencia: 76786 | |
| 773 | 0 | |d 2009 |g v. 7303 |p Proc SPIE Int Soc Opt Eng |n Proceedings of SPIE - The International Society for Optical Engineering |x 0277786X |z 9780819475695 |t Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV | |
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| 856 | 4 | 0 | |u https://doi.org/10.1117/12.819150 |y DOI |
| 856 | 4 | 0 | |u https://hdl.handle.net/20.500.12110/paper_0277786X_v7303_n_p_Abbate |y Handle |
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