Graphs and algorithms
Computational geometry: an introduction
Computational geometry: an introduction
The algebraic basis of mathematical morphology. I. dilations and erosions
Computer Vision, Graphics, and Image Processing
Theoretical Aspects of Gray-Level Morphology
IEEE Transactions on Pattern Analysis and Machine Intelligence
The algebraic basis of mathematical morphology
CVGIP: Image Understanding
An overview of morphological filtering
Circuits, Systems, and Signal Processing - Special issue: median and morphological filters
The Relative Neighborhood Graph, with an Application to Minimum Spanning Trees
Journal of the ACM (JACM)
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Morphological mesh filtering and α-objects
Pattern Recognition Letters
Geodesy on label images, and applications to video sequence processing
Journal of Visual Communication and Image Representation
A complex network approach to text summarization
Information Sciences: an International Journal
Graph-based morphological processing of multivariate microscopy images and data bases
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Conditional Toggle Mappings: Principles and Applications
Journal of Mathematical Imaging and Vision
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This paper presents a systematic theory for the construction of morphological operators on graphs. Graph morphology extracts structural information from graphs using predefined test probes called structuring graphs. Structuring graphs have a simple structure and are relatively small compared to the graph that is to be transformed. A neighborhood function on the set of vertices of a graph is constructed by relating individual vertices to each other whenever they belong to a local instantiation of the structuring graph. This function is used to construct dilations and erosions. The concept of the structuring graph is also used to define openings and closings. The resulting morphological operators are invariant under symmetries of the graph. Graph morphology resembles classical morphology (which uses structuring elements to obtain translation-invariant operators) to a large extent. However, not all results from classical morphology have analogues in graph morphology because the local graph structure may be different at different vertices.