Abstract
We describe three modifications to the structure tensor approach to low-level feature extraction. We first show that the structure tensor must be represented at a higher resolution than the original image. Second, we propose a non-linear filter for structure tensor computation that avoids undesirable blurring. Third, we introduce a method to simultaneously extract edge and junction information. Examples demonstrate significant improvements in the quality of the extracted features.
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References
August, J., Zucker, S.: Sketches with Curvature: The Curve Indicator Random Field and Markov Processes. IEEE Trans. Patt. Anal. Mach. Intell. 25(4), 387–400 (2003)
Canny, J.: A Computational Approach to Edge Detection. IEEE Trans. Patt. Anal. Mach. Intell. 8(6), 679–698 (1986)
Förstne, W.: A Feature Based Corresponding Algorithm for Image Matching. Intl. Arch. of Photogrammetry and Remote Sensing 26, 150–166 (1986)
Förstner, W.: A Framework for Low Level Feature Extraction. In: Eklundh, J.-O. (ed.) ECCV 1994. LNCS, vol. 801, pp. 383–394. Springer, Heidelberg (1994)
Harris, C.G., Stevens, M.J.: A Combined Corner and Edge Detector. In: Proc. of 4th Alvey Vision Conference (1988)
Köthe, U.: Gradient-Based Segmentation Requires Doubling of the Sampling Rate, Univ. Hamburg, Informatics Dept., Tech. Rep. FBI-HH-M-326/03 (2003) (submitted)
Kovalevsky, V.: Finite Topology as Applied to Image Analysis. Computer Vision, Graphics, and Image Processing 46(2), 141–161 (1989)
Medioni, G., Lee, M.-S., Tang, C.-K.: A Computational Framework for Segmentation and Grouping. Elsevier, Amsterdam (2000)
Nagel, H.-H., Gehrke, A.: Spatiotemporally adaptive estimation and segmentation of OF-fields. In: Burkhardt, H., Neumann, B. (eds.) ECCV 1998. LNCS, vol. 1407, pp. 86–102. Springer, Heidelberg (1998)
Rao, A.R., Schunck, B.G.: Computing Oriented Texture Fields. CVGIP: Graphical Models and Image Processing 53(2), 157–185 (1991)
Rohr, K.: Modelling and Identification of Characteristic Intensity Variations. Image and Vision Computing 10, 66–76 (1992)
Rohr, K.: Localization Properties of Direct Corner Detectors. J. of Mathematical Imaging and Vision 4, 139–150 (1994)
Weickert, J., Brox, T.: Diffusion and Regularization of Vector- and Matrix-Valued Images. In: Nashed, M.Z., Scherzer, O. (eds.) Inverse Problems, Image Analysis, and Medical Imaging. Contemporary Mathematics, vol. 313, AMS (2002)
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Köthe, U. (2003). Edge and Junction Detection with an Improved Structure Tensor. In: Michaelis, B., Krell, G. (eds) Pattern Recognition. DAGM 2003. Lecture Notes in Computer Science, vol 2781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45243-0_4
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DOI: https://doi.org/10.1007/978-3-540-45243-0_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40861-1
Online ISBN: 978-3-540-45243-0
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