Literature DB >> 21868826

Decomposition of two-dimensional shapes by graph-theoretic clustering.

L G Shapiro1, R M Haralick.   

Abstract

This paper describes a technique for transforming a twodimensional shape into a binary relation whose clusters represent the intuitively pleasing simple parts of the shape. The binary relation can be defined on the set of boundary points of the shape or on the set of line segments of a piecewise linear approximation to the boundary. The relation includes all pairs of vertices (or segments) such that the line segment joining the pair lies entirely interior to the boundary of the shape. The graph-theoretic clustering method first determines dense regions, which are local regions of high compactness, and then forms clusters by merging together those dense regions having high enough overlap. Using this procedure on handdrawn colon shapes copied from an X-ray and on handprinted characters, the parts determined by the clustering often correspond well to decompositions that a human might make.

Entities:  

Year:  1979        PMID: 21868826     DOI: 10.1109/tpami.1979.4766871

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN: 0098-5589            Impact factor:   6.226


  2 in total

1.  Altered microtubule structure, hemichannel localization and beating activity in cardiomyocytes expressing pathologic nuclear lamin A/C.

Authors:  Daniele Borin; Brisa Peña; Suet Nee Chen; Carlin S Long; Matthew R G Taylor; Luisa Mestroni; Orfeo Sbaizero
Journal:  Heliyon       Date:  2020-01-23

2.  A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells.

Authors:  Jacqueline Nowak; Ryan Christopher Eng; Timon Matz; Matti Waack; Staffan Persson; Arun Sampathkumar; Zoran Nikoloski
Journal:  Nat Commun       Date:  2021-01-19       Impact factor: 14.919

  2 in total

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