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Algebraic Models for Feature Displacement in the Generalization of Digital Map Data Using Morphological Techniques

Bibliographic Data

ID14701625
AuthorsZhilin Li (0000-0003-1507-323X, Hong Kong Polytechnic University / Hong Kong, corresponding author), Bo Su (0000-0001-5390-0545)
Year1995
Volume32
Issue3
Pages39-56
Publication date1995-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCartographica The International Journal for Geographic Information and Geovisualization (JOURNAL)
Journal identifiersISSN: 0317-7173 • E-ISSN: 1911-9925
PublisherUniversity of Toronto Press Inc. (UTPress) (PUBLISHER)
DOI10.3138/h7k9-2160-2765-8230
OpenAlexW2029075092
LanguageEN
Citations received1

Feature displacement is one of the many operations (or operators) in map-data generalization. It has become a priority item on the research agenda. This paper describes some algebraic models (or mathematical models) for this operation. These models are based on the operators developed in mathematical morphology, which is a science dealing with form, shape, and structure of objects. Feature displacements can be classified into two groups, i.e., feature translation and feature modification. For the first type, a set of structuring elements (key elements in morphological operators) are developed. Using this set of structuring elements, the two basic morphological operators, i.e., dilation and erosion, can be used for translating features in any of the eight directions, freely. Translation of features in other directions can be achieved by a combination of these eight directions. For the second type of feature displacement, a number of models have been developed to suit different cases, i.e., an area feature and a linear feature, two linear features, etc. These models have also been tested using various examples. The results show that these techniques are very promising

Algebraic number · Algorithm · Dilation (metric space) · Displacement (psychology · Feature (linguistics · Generalization · Geometry · Image (mathematics · Image processing · Mathematical morphology · Pattern recognition (psychology · Set (abstract data type · Structuring · Translation (biology · Computer Science · Data Management and Algorithms · Geographic Information Systems Studies · Mathematics · Remote Sensing and Land Use · Artificial Intelligence

  • Mathematical Morphology Applied to Raster Generalization of Urban City Block Maps

    Manuel Cámara, Manuel Antonio Ureña Cámara et al.•Cartographica The International…•2000

Unique citing works1
Citations per year0,04
Citation span2000 - 2000 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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