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A discrete particle swarm optimisation algorithm for geographical map contour reconstruction
Baha Fergani, Mohamed Khireddine Kholladi
Abstract
Nowadays, map images are widely used for many applications. To be well exploited, theses maps generally need a contour extraction operation. However, gaps may result from this phase, which would give rise to the need for reconstructing the missing parts. Map-contour gaps can be caused from low-maps quality or from the contour extraction process. This problem cannot be dealt with simple traditional contour extractors when these gaps are relatively large. This paper proposes a discrete PSO for damaged contour matching in geographical maps. The proposed approach has been validated by applying it on a set of genuine maps.
Details
| Original language | English |
|---|---|
| Event | International Conference on Digital Information and Communication Technology and its Applications (DICTAP) |
| Volume | 14 |
| Article number | 7544016 |
| Pages | 142-144 |
| DOI | 10.1109/dictap.2016.7544016 |
| Publication status | Published — 1 July 2016 |
Keywords
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- Metaheuristic Optimization Algorithms Research
- Digital Image Processing Techniques
- Historical Geography and Cartography
- particle swarm optimization
- geographical maps
- contour detection
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Geography, Planning and Development
- Computer Science
- Social Sciences