Abstract
In this paper we focus on the problem of automatically detecting the absence of the fastening bolts that secure the rails to the sleepers. The proposed visual inspection system uses images acquired from a digital line scan camera installed under a train. The general performances of the system, in terms of speed and detection rate, are mainly influenced by the adopted features for representing images and by their number. In this paper we use overcomplete dictionaries of waveforms, called frames, which allow dense and sparse representations of images and analyze the performances of the system with respect to the sparsity of the representation. Sparse means a representation with only few no vanishing components. In particular we show that, in the case of Gabor dictionaries, dense representations provide the highest detection rate. Moreover, the number of no vanishing components of 1% of the total reduces of 10% the detection rate of the system, indicating that very sparse representations do not heavily influence the performances. We show the adopted techniques by using images acquired in real experimental conditions.
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References
Silven, O., Niskanen, M., Kauppinen, H.: Wood inspection with non-supervised clustering. Machine Vision and Applications 13(5-6), 275–285 (2003)
Zhang, Y., Zhang, Z., Zhang, J.: Deformation visual of industrial parts with image sequence. Machine Vision and Applications 15(3), 115–120 (2004)
Sung, K., Poggio, T.: Example-based Learning for View-based Human Face Detection. Artificial Intelligence Laboratory. Massachusetts Institute of Technology, Cambridge, MA (1994), A.I. Memo No. 1521
Papageorgiou, C., Evgeniou, T., Poggio, T.: A trainable pedestrian detection system. In: Proceedings of Intelligent Vehicles, Stuttgart, Germany (October 1998)
Ancona, N., Cicirelli, G., Stella, E., Distante, A.: Ball detection in static images with Support Vector Machines for classification. Image and Vision Computing 21(8), 675–692 (2003)
Mazzeo, P.L., Nitti, M., Stella, E., Distante, A.: Visual recognition of fastening bolts for railroad maintenance. Pattern Recognition Letters 25(6), 669–677 (2004)
Mandriota, C., Nitti, M., Ancona, N., Stella, E., Distante, A.: Filter-based feature selection for rail defect detection. Machine Vision and Applications 15, 179–185 (2004)
Mazzeo, P.L., Ancona, N., Stella, E., Distante, A.: Visual Recognition of hexagonal headed bolts by comparing ICA to Wavelets. In: Proceedings of the IEEE Inter. Symposium on Intelligent Control-Houston, pp. 636–641 (2003)
Mazzeo, P.L., Ancona, N., Stella, E., Distante, A.: Fastening Bolts recognition in Railway images by Independent Component Analysis. In: Proc. 3rd Visualization, Imaging and Image Processing-Benalmadena, pp. 668–673 (2003)
Andrade-Cetto, J., Kak Avinash, C.: Object Recognition. Wiley Encyclopedia of Electrical Engineering Sup. 1, 449–470 (2000)
Mallat, S., Zhang, Z.: Matching Pursuit in a time-frequency. IEEE Transaction on signal processing 41, 3397–3415 (1993)
Al-Shaykh, O., Miloslavsky, E., Nomura, T., Neff, R., Zakhor: Video compression using matching pursuits. IEEE Transaction on Circuits and Systems for Video Technology 9(1), 123–143 (1999)
Bergeaud, F., Mallat, S.: Matching Pursuit of images. In: Proceedings of the International Conference on Image Processing, pp. 53–56 (1995)
Hsu, H., Huang, L.: Road sign detection and recognition using matching pursuit method. Image and Vision Computing 19, 119–129 (2001)
Jonathon Phillips, P.: Matching Pursuit Filters applied to face Identification. IEEE Transactions on Image Processing 7(8), 1150–1164 (1998)
Daubechies, I.: Ten lectures on wavelets. CBMS-NSF Regional Conferences Series in Applied Mathematics. SIAM, Philadelphia (1992)
Ancona, N., Stella, E.: Image representations with overcomplete dictionaries for object detection. Technical Report R.I.- ISSIA/CNR-Nr. 02/2003. Istituto di studi sui sistemi intelligenti per l’Automazione - Consiglio Nazionale delle Ricerche, Bari, Italy (2003)
Chen, S., Donoho, D., Saunders, M.: Atomic Decomposition by basis pursuit. Technical Report 479, Dept of Statistics, Standford University (1995)
Lee, T.S.: Image Representation Using 2D Gabor Wavelets. IEEE Transactions on Pattern Analysis and Machine Intelligence 18(10), 959–971 (1996)
Stephane, M.: A Wavelet Tour of Signal Processing. Accademic Press, USA (1998)
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Mazzeo, P.L., Stella, E., Ancona, N., Distante, A. (2005). Visual Detection of Hexagonal Headed Bolts Using Method of Frames and Matching Pursuit. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492429_34
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DOI: https://doi.org/10.1007/11492429_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26153-7
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