Classification Techniques for Digital Map Compression
NAVAL OCEAN RESEARCH AND DEVELOPMENT ACTIVITY STENNIS SPACE CENTER MS
Pagination or Media Count:
The performance of image classification techniques as applied to color cartographic maps is compared. These color maps have a lot of graininess due to imperfections in the printing process. This graininess decreases the efficiency of compression techniques. The color maps are classified using the K-means clustering algorithm and vector quantization with neighborhood classification to improve the visual quality and compression ratio. The classification is performed in various image representation schemes. The performance of the classifier is evaluated based on the visual quality of the classified image, the time required to classify the image and compression achieved on the classified image. The compression ratio after classification was higher than before classification.
- Cartography and Aerial Photography