Measuring shape ellipticity

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6854 LNCS, Issue PART 1, 2011, Pages 170-177

  Aktaş, Mehmet Ali ^a   Žunić, Joviša ^a,b  

^a UNIVERSITY OF EXETER   (United Kingdom)

^b MATHEMATICAL INSTITUTE   (Serbia)

Author keywords

early vision; Shape; shape descriptors; shape ellipticity

Indexed keywords

DESCRIPTORS; EARLY VISION; SHAPE; SHAPE DESCRIPTORS; SHAPE ELLIPTICITY;

IMAGE ANALYSIS;

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

EID: 80052796265     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23672-3_21     Document Type: Conference Paper

References (20)

1. De Biase, G.A.: Trends in astronomical image processing. Computer Vision, Graphics, and Image Processing 43, 347-360 (1988)
2. Bowman, E.T., Soga, K., Drummond, W.: Particle shape characterization using Fourier descriptor analysis. Geotechnique 51, 545-554 (2001)
3. Fitzgibbon, A.M., Pilu, M., Fisher, R.B.: Direct least square fitting of ellipses. IEEE Transaction on Pattern Analysis and Machine Intelligence 21, 476-480 (1999)
4. Flusser, J., Suk, T.: Pattern recognition by affine moment invariants. Pattern Recognition 26, 167-174 (1993)
5. Hu,M.: Visual Pattern recognition by moment invariants. IRE Trans. Inf. Theory 8, 179-187 (1962)
6. Lekshmi, S., Revathy, K., Prabhakaran Nayar, S.R.: Galaxy classification using fractal signature. Astronomy and Astrophysics 405, 1163-1167 (2003)
7. Oliver, A., Freixenet, J., Martí, J., Pérez, E., Pont, J., Denton, E.R.E., Zwiggelaar, R.: A review of automatic mass detection and segmentation in mammographic images. Medical Image Analysis 14, 87-110 (2010)
8. Peura, M., Iivarinen, J.: Efficiency of simple shape descriptors. In: Arcelli, C., Cordella, L.P., Sanniti di Baja, G. (eds.) Aspects of Visual Form Processing, pp. 443-451. World Scientific, Singapore (1997)
9. Proffitt, D.: The measurement of circularity and ellipticity on a digital grid. Pattern Recognition 15, 383-387 (1982)
10. Rosin, P.L.: Measuring shape: ellipticity, rectangularity, and triangularity. Machine Vision and Applications 14, 172-184 (2003)
11. Rosin, P.L.: Measuring sigmoidality. Pattern Recognition 37, 1735-1744 (2004)
12. Sonka, M., Hlavac, V., Boyle, R.: Image Processing, Analysis, and Machine Vision. Thomson-Engineering (2007)
13. Stojmenović, M., Nayak, A., Žunić, J.: Measuring linearity of planar point sets. Pattern Recognition 41, 2503-2511 (2008)
14. Stojmenović, M., Žunić, J.: Measuring elongation from shape boundary. Journal Mathematical Imaging and Vision 30, 73-85 (2008)
15. Tran, A., Goutard, F., Chamaille, L., Baghdadi, N., Seen, D.: Remote sensing and avian influenza: A review of image processing methods for extracting key variables affecting avian influenza virus survival in water from Earth Observation satellites. Int. J. Applied Earth Observation and Geoinformation 12, 1-8 (2010)
16. Zabrodsky, H., Peleg, S., Avnir, D.: Symmetry as a continuous feature. IEEE Transactions on Pattern Analysis and Machine Intelligence 17, 1154-1166 (1995)
17. Xu, D., Li, H.: Geometric moment invariants. Pattern Recognition 41, 240-249 (2008)
18. Žunić, J., Kopanja, L., Fieldsend, J.E.: Notes on shape orientation where the standard method does not work. Pattern Recognition 39, 856-865 (2006)
19. Žunić, J., Rosin, P.L.: Rectilinearity measurements for polygons. IEEE Transactions on Pattern Analysis and Machine Intelligence 25, 1193-1200 (2003)
20. Žunić, J., Hirota, K., Rosin, P.L.: A Hu moment invariant as a shape circularity measure. Pattern Recognition 43, 47-57 (2010)