Pairwise representation for image database indexing
Pairwise representation for image database indexing
- Author(s): B. Huet and E.R. Hancock
- DOI: 10.1049/cp:19970942
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- Author(s): B. Huet and E.R. Hancock Source: 6th International Conference on Image Processing and its Applications, 1997 p. 492 – 496
- Conference: 6th International Conference on Image Processing and its Applications
- DOI: 10.1049/cp:19970942
- ISBN: 0 85296 692 X
- Location: Dublin, Ireland
- Conference date: 14-17 July 1997
- Format: PDF
This paper develops a simple and robust representation scheme for indexing line patterns. The application vehicle used in this study involves indexing into an aerial image database using a cartographic model. The images contained in the database are of urban and semi-urban areas. The cartographic model represents a road network known to appear in a subset of the images contained within the database. There are known to be severe imaging distortions present and the data cannot be recovered by applying a simple Euclidean transform to the model. The cartographic indexing into the database is achieved using features computed from neighboring line segments extracted from the raw aerial images. These indexation features are based on directed relative angle and directed relative position of segment pairs. We illustrate both the effectiveness of our representation and the advantage that it offers in overcoming local shape ambiguities.
Inspec keywords: indexing; visual databases; image representation; image segmentation; feature extraction; cartography
Subjects: Computer vision and image processing techniques; Geography and cartography computing; Optical information, image and video signal processing; Information analysis and indexing; Spatial and pictorial databases
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