Introduction to mathematical morphology
Computer Vision, Graphics, and Image Processing
Image Analysis Using Mathematical Morphology
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of Kidney Glomerulus by Dynamic Programming Matching Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
MAP: multi-angled parallelism for feature extraction from topographical maps
Pattern Recognition
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
Directional Morphological Filtering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contour Line and Geographic Feature Extraction from USGS Color Topographical Paper Maps
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing marbling in dry-cured Iberian ham by multiscale analysis
Pattern Recognition Letters
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
Symbol Recognition: Current Advances and Perspectives
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Generating Logic Descriptions for the Automated Interpretation of Topographic Maps
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
Caption Text Recognition in Video Frames by MAP Matching
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
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One of the most difficult and important problems encountered in the automatic digitizing of graphical topographic maps is the identification and separate digitizing of different kinds of features. Essentially, in topographic maps, there are two kinds of geometric features: linear features, such as roads and railways that have an arbitrary length, and symbols, which indicate a type of building or area of land usage or even numerical information. These two types of features are extracted and recognized by using methods based on multiangled parallelism (MAP). The MAP operation method performs parallel calculation on directional feature planes. The linear features are extracted using erosion-dilation operations on the directional feature planes, and the symbols are extracted using a reformalized and parallel version of the generalized Hough transformation on the same directional planes, which is called the MAP matching method. The methods have been applied to a 1/25000 scale map.