Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30178
Edge Segmentation of Satellite Image using Phase Congruency Model

Authors: Ahmed Zaafouri, Mounir Sayadi, Farhat Fnaiech

Abstract:

In this paper, we present a method for edge segmentation of satellite images based on 2-D Phase Congruency (PC) model. The proposed approach is composed by two steps: The contextual non linear smoothing algorithm (CNLS) is used to smooth the input images. Then, the 2D stretched Gabor filter (S-G filter) based on proposed angular variation is developed in order to avoid the multiple responses in the previous work. An assessment of our proposed method performance is provided in terms of accuracy of satellite image edge segmentation. The proposed method is compared with others known approaches.

Keywords: Edge segmentation, Phase congruency model, Satellite images, Stretched Gabor filter

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1329733

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2287

References:


[1] A. V. Oppenheim and J. S. Lim, "The importance of phase in signals", Proceedings of the IEEE, vol.69, pp. 529-541, 1981.
[2] M. C. Morrone and D. C. Burr. "Feature detection in human vision: A phase-dependent energy model". Proc. R. Soc. Lond. B, vol.235, pp. 221-245, 1988.
[3] S. Venkatesh and R. A. Owens. "An energy feature detection scheme". In the International Conference on Image Processing, p. 553-557, Singapore, 1989.
[4] S. Venkatesh and R. A. Owens. "On the classification of images features". Pattern Recognition letters, Vol. 11, pp. 339-349, 1991.
[5] P. D Kovesi. "Image features from phase congruency". Videre: Journal of Computer Vision Research, vol. 1, pp. 1-26, 1999
[6] P. D. Kovesi. "Invariant Measures of Image Features from Phase Information". PhD thesis, The University of Western Australia, May 1996.
[7] P. D Kovesi, "Phase congruency detects corners and edges", The Australian Pattern Recognition Society Conference: Sydney. p. 309-318, December 2003.
[8] B Robbins and R Owens. "2D feature detection via local energy". Image and Vision Computing, vol.15, pp 353-368, October 1997
[9] M. J. Robins. "Local energy features tracing in digital images and volumes". PhD thesis, The University of Western Australia, June 1999
[10] C. Ronse. "The phase congruence model for edge detection in twodimensional pictures: A mathematical study". PhD thesis, University Louis Pastern, September 1995.
[11] C. Ronse. "The phase congruence model for edge detection in multidimensional pictures". Technical report, Département d-Informatique, Université Louis Pasteur, France. October 1997.
[12] Yuchi Huang, Stephen Lin, Stan Z. Li, Hanqing Lu, Heung-Yeung Shum, "Face Alignment under Variable Illumination". IEEE International Conference on Automatic Face and Gesture Recognition, pp. 1-6, 2004
[13] Junzhou Huang and al. "Noise removal and impainting model for iris image". International Conference on Image processing, pp.869-872, ICIP 2004.
[14] M. J. Kyan, L. Guan, M. R. Arnison, and C. J. Cogswell. "Feature Extraction of Chromosomes from 3-D Confocal Microscope Images". IEEE Transactions on biomedical engineering, vol. 48, pp.1306-1318, November 2001
[15] Guitao Cao, Pengfei Shi and Bing Hu. "Ultrasonic Liver Characterization Using Phase Congruency". Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, pp.1-4, September 2005
[16] Woei Chan, George Coghill, "Text analysis using local energy", Pattern Recognition, Vol. 34, pp. 2523-2532, 2001.
[17] A.K. Jain, F. Farrokhnia, "Unsupervised texture segmentation using Gabor filters", Pattern Recognition, Vol.24, pp. 1167-1186, 1991.
[18] T.S. Lee. "Image representation using 2D Gabor wavelets". IEEE Trans. PAMI, 18(10), 959-971, 1996.
[19] D. Boukerroui, J.A. Noble and M. Brady. "On the Choice of Band-Pass Quadrature Filters". Technical Report, MVL, Oxford University, 1999. http://www.robots.ox.ac.uk/_djamal/.
[20] F. Heitger, R. Rosenthaler, R. Von Der Heydt, E. Peterhans, and O. Kubler. "Simulation of neural mechanism: from simple to end-stopped cells". Vision research, vol.32, pp. 963-981, 1992.
[21] X. Liu, D. L. Wang and J. R. Ramirez: "Boundary detection by contextual non-linear smoothing". Pattern Recognition, Vol.33, pp. 263- 280, 2000
[22] M. Nagao and T. Matsuyama. "Edge preserving smoothing", Computer Vision Graphics and Image Processing, vol. 9, pp 394-407, 1979.
[23] G.R. Arce, M.P. McLaughlin, "Theoretical analysis of the max/median filter", IEEE Transactions on Acoustics, Speech, and Signal Processing, pp. 60-69, 1987.
[24] J. Portilla, V. Strela, M. J. Wainwright and E. P. Simoncelli, "Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain". IEEE Transactions on Image Processing, vol. 12, pp. 1338-1351, 2003
[25] P. Kovesi, "Phase Preserving Denoising of Image". The Australian Pattern Recognition Society Conference: DICTA'99, pp. 212-217. December 1999
[26] S. G. Chang, B. Yu, and M. Vetterli, "Adaptive Wavelet Thresholding for Image Denoising and Compression", IEEE transactions on image processing, vol. 9, pp. 1532-1546, 2000
[27] D.L. Donoho. "Denoising by soft thresholding", IEEE Transactions on Info. Theory, pp. 933-936, 1993.