Abstract
In the geographic domain shape features are of concern for several objects, such as borders between countries and counties as well as other administrative units, highways, coastlines, rivers, and other objects determining the infrastructure of a country such as telecommunication networks: we have to deal with shape features of those objects in the context of spatial planning and spatial databases. Defining Gestalt features of shapes, however, is a challenging issue. While in computer vision many features have been devised emphasis has been put on precision. The complementary approach consists in defining features which are not precise but allow shape properties to be defined at the categorical level. As a consequence those features are closely related to human perception and as such appropriate as comprehensible features, aiding in searching spatial databases for specific objects. Additionally those features are cheaper from the computational point of view: they compactly characterise shapes and they can equally compactly be employed in the context of storage, comparison, and retrieval.1
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
B. Gottfried. Characterising Meanders Qualitatively. In M Raubal, H J. Miller, A U. Frank, and M. F. Goodchild, GIScience, volume 4197 of Lecture Notes in ComputerScience, pages 112–127. Springer, 2006.
B. Gottfried. Shape from Positional-Contrast-Characterising Sketches with QualitativeLine Arrangements. DUV-Deutscher Universitätsverlag, Wiesbaden, 2007.
A. Schuldt, B Gottfried, and O Herzog. A compact shape representation for linear geographicalobjects: the scope histogram. In R. A. de By and S. Nittel, editors, GIS, pages51–58. ACM, 2006.
M. J. Egenhofer. Query processing in spatial-query-by-sketch. Journal of Visual Languagesand Computation, 8(4):403–424, 1997.
K. Zimmermann and C. Freksa. Qualitative Spatial Reasoning Using Orientation, Distance,and Path Knowledge. Applied Intelligence, 6:49–58, 1996.
P. L. Rosin. Assessing the behaviour of polygonal approximation algorithms. PatternRecognition, 36:505–518, 2003.
F. Attneave. Some informational aspects of visual perception. Psychological Review,61:183–193, 1954.
B. B. Mandelbrot.Fractals and the Rebirth of Iteration Theory. In H.-O. Peitgen and P.H. Richter, editors, The Beauty of Fractals: Images of Complex Dynamical Systems, pages151–160. Springer, 1986.
T. Barkowsky, L J. Latecki, and K. Richter. Schematizing maps: Simplification of geographicshape by discrete curve evolution. In C. Freksa and et al., editors, COSIT 2001,Spatial Information Theory, pages 41–53. Springer-Verlag, 2001.
D. A. Mitzias and B. G. Mertzios. Shape Recognition with a Neural Classifier Based ona Fast Polygon Approximation Technique. Pattern Recognition, 27:627–636, 1994.
G. D. Garson and R. S. Biggs. Analytic Mapping and Geographic Databases. SagePublications, Newbury Park, CA, 1992.
R. O. Duda and P. E. Hart. Pattern Classification and Scene Analysis. John Wiley andSons, Inc., 1973.
L. J. Latecki and R. Lakämper. Shape Similarity Measure Based on Correspondenceof Visual Parts. IEEE Transactions on Pattern Analysis and Machine Intelligence,22(10):1185–1190, 2000.
E. Jungert. Symbolic spatial reasoning on object shapes for qualitative matching. In A. U.Frank and L. Campari, editors, COSIT dy1993, Spatial Information Theory: A TheoreticalBasis for GIS., Lecture Notes in Computer Science 716, pages 444–462. Springer-Verlag,1993.
C. Schlieder. Qualitative shape representation. In P. Burrough and A. M. Frank, editors,Geographic objects with indeterminate boundaries, pages 123–140, London, 1996.Taylor & Francis.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Gottfried, B. (2007). Characterising Straightness Qualitatively. In: Fabrikant, S.I., Wachowicz, M. (eds) The European Information Society. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72385-1_25
Download citation
DOI: https://doi.org/10.1007/978-3-540-72385-1_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72384-4
Online ISBN: 978-3-540-72385-1
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)