Abstract
We validate the usage of augmented 2D shape-size pattern spectra, calculated on arbitrary connected regions. The evaluation is performed on MSER regions and competitive performance with SIFT descriptors achieved in a simple retrieval system, by combining the local pattern spectra with normalized central moments. An additional advantage of the proposed descriptors is their size: being half the size of SIFT, they can handle larger databases in a time-efficient manner. We focus in this paper on presenting the challenges faced when transitioning from global pattern spectra to the local ones. An exhaustive study on the parameters and the properties of the newly constructed descriptor is the main contribution offered. We also consider possible improvements to the quality and computation efficiency of the proposed local descriptors.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Arandjelović, R., Zisserman, A.: Three things everyone should know to improve object retrieval. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2911–2918. IEEE (2012)
Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: Speeded-up robust features (SURF). Computer Vision and Image Understanding 110(3), 346–359 (2008)
Benediktsson, J.A., Pesaresi, M., Arnason, K.: Classification and Feature Extraction for Remote Sensing Images from Urban Areas based on Morphological Transformations. IEEE Transactions on Geoscience and Remote Sensing 41(9), 1940–1949 (2003)
Bosilj, P., Kijak, E., Wilkinson, M.H.F., Lefèvre, S.: Short local descriptors from 2D connected pattern spectra. Submitted to ICIP 2015, https://hal.inria.fr/hal-01134071
Breen, E.J., Jones, R.: Attribute openings, thinnings, and granulometries. Computer Vision and Image Understanding 64(3), 377–389 (1996)
Dalla Mura, K., Benediktsson, J.A., Waske, B., Bruzzone, L.: Morphological Attribute Profiles for the Analysis of Very High Resolution Images. IEEE Transactions on Geoscience and Remote Sensing 48(10), 3747–3762 (2010)
Friedman, J.H., Bentley, J.L., Finkel, R.A.: An algorithm for finding best matches in logarithmic expected time. ACM Transactions on Mathematical Software (TOMS) 3(3), 209–226 (1977)
Hu, M.K.: Visual pattern recognition by moment invariants. IRE Transactions on Information Theory 8(2), 179–187 (1962)
Jones, R.: Component trees for image filtering and segmentation. In: Coyle, E. (ed.) IEEE Workshop on Nonlinear Signal and Image Processing, Mackinac Island (1997)
Lejsek, H., Jónsson, B.T., Amsaleg, L.: NV-Tree: Nearest Neighbors at the Billion Scale. In: Proceedings of the 1st ACM International Conference on Multimedia Retrieval, ICMR 2011, pp. 54:1–54:8 (2011)
Lowe, D.G.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60(2), 91–110 (2004)
Maragos, P.: Pattern spectrum and multiscale shape representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 11(7), 701–716 (1989)
Matas, J., Chum, O., Urban, M., Pajdla, T.: Robust wide-baseline stereo from maximally stable extremal regions. Image and Vision Computing 22(10), 761–767 (2004)
Mikolajczyk, K., Schmid, C.: A performance evaluation of local descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(10), 1615–1630 (2005)
Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A., Matas, J., Schaffalitzky, F., Kadir, T., Van Gool, L.: A comparison of affine region detectors. International Journal of Computer Vision 65(1-2), 43–72 (2005)
Muja, M., Lowe, D.G.: Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration. In: International Conference on Computer Vision Theory and Application (VISSAPP 2009), pp. 331–340. INSTICC Press (2009)
Mwebaze, E., Schneider, P., Schleif, F.M., Aduwo, J.R., Quinn, J.A., Haase, S., Villmann, T., Biehl, M.: Divergence-based classification in learning vector quantization. Neurocomputing 74(9), 1429–1435 (2011)
Nistér, D., Stewénius, H.: Linear time maximally stable extremal regions. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol. 5303, pp. 183–196. Springer, Heidelberg (2008)
Ouzounis, G.K., Pesaresi, M., Soille, P.: Differential Area Profiles: Decomposition Properties and Efficient Computation. IEEE Transactions on Pattern Analysis and Machine Intelligence 34(8), 1533–1548 (2012)
Salembier, P., Oliveras, A., Garrido, L.: Antiextensive connected operators for image and sequence processing. IEEE Transactions on Image Processing 7(4), 555–570 (1998)
Schaefer, G., Stich, M.: UCID: An Uncompressed Colour Image Database. In: Electronic Imaging 2004, pp. 472–480. International Society for Optics and Photonics (2003)
Schmid, C., Mohr, R.: Object recognition using local characterization and semi-local constraints. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(5), 530–534 (1997)
Sivic, J., Zisserman, A.: Video google: Efficient visual search of videos. In: Ponce, J., Hebert, M., Schmid, C., Zisserman, A. (eds.) Toward Category-Level Object Recognition. LNCS, vol. 4170, pp. 127–144. Springer, Heidelberg (2006)
Tushabe, F., Wilkinson, M.H.F.: Content-based image retrieval using combined 2D attribute pattern spectra. In: Peters, C., Jijkoun, V., Mandl, T., Müller, H., Oard, D.W., Peñas, A., Petras, V., Santos, D. (eds.) CLEF 2007. LNCS, vol. 5152, pp. 554–561. Springer, Heidelberg (2008)
Urbach, E.R., Roerdink, J.B.T.M., Wilkinson, M.H.F.: Connected shape-size pattern spectra for rotation and scale-invariant classification of gray-scale images. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(2), 272–285 (2007)
Urbach, E.R., Wilkinson, M.H.F.: Shape-only granulometries and grey-scale shape filters. In: Proc. Int. Symp. Math. Morphology (ISMM), vol. 2002, pp. 305–314 (2002)
Vedaldi, A., Fulkerson, B.: VLFeat: An Open and Portable Library of Computer Vision Algorithms (2008), http://www.vlfeat.org/
Westenberg, M.A., Roerdink, J.B.T.M., Wilkinson, M.H.F.: Volumetric Attribute Filtering and Interactive Visualization using the Max-Tree Representation. IEEE Trans. Image Proc. 16, 2943–2952 (2007)
Wilkinson, M.H.F.: Generalized pattern spectra sensitive to spatial information. In: International Conference on Pattern Recognition, vol. 1, pp. 10021–10021. IEEE Computer Society (2002)
Xu, Y., Géraud, T., Najman, L.: Morphological filtering in shape spaces: Applications using tree-based image representations. In: 2012 21st International Conference on Pattern Recognition (ICPR), pp. 485–488. IEEE (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Bosilj, P., Wilkinson, M.H.F., Kijak, E., Lefèvre, S. (2015). Local 2D Pattern Spectra as Connected Region Descriptors. In: Benediktsson, J., Chanussot, J., Najman, L., Talbot, H. (eds) Mathematical Morphology and Its Applications to Signal and Image Processing. ISMM 2015. Lecture Notes in Computer Science(), vol 9082. Springer, Cham. https://doi.org/10.1007/978-3-319-18720-4_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-18720-4_16
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18719-8
Online ISBN: 978-3-319-18720-4
eBook Packages: Computer ScienceComputer Science (R0)