Binary image representation by contour trees

Dogu Baran Aydogan*, Jari Hyttinen

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

5 Sitaatiot (Scopus)

Abstrakti

There is a growing need in medical image processing to analyze segmented objects. In this study we are interested in analyzing morphological properties of complex structures such as the trabecular bone. Although, there are various shape description approaches proposed in the literature, there is not an adequate method to represent foreground object(s) morphology with respect to the background. In this article, we propose a way of representing binary images of any dimensions using graphs that emphasize connectivity of level-sets to foreground and background. We start by calculating the euclidean distance transform (EDT) to create a scalar field. Then the contour tree of this scalar field is calculated using a modified version of the algorithm proposed by Carr[1]. Contour trees are mostly used to visualize high dimensional scalar fields as they can put on view the critical points, i.e: local min, max and saddle points; however, their use in representing complex shapes have not been studied. We demonstrate the use of our method on artificial 2D images having different topologies as well as 3D μ-CT images of two bone biopsies. We show that the application of contour trees to complex binary data particularly prove useful when interpreting pore-networks at micro-scale. Further work to quantify foreground and background interconnectivity using certain graph theoretical methods is still under research.

AlkuperäiskieliEnglanti
OtsikkoMedical Imaging 2012
AlaotsikkoImage Processing
Vuosikerta8314
DOI - pysyväislinkit
TilaJulkaistu - 14 toukokuuta 2012
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaSPIE Medical Imaging: Image Processing - San Diego, Yhdysvallat
Kesto: 6 helmikuuta 20129 helmikuuta 2012

Conference

ConferenceSPIE Medical Imaging
MaaYhdysvallat
KaupunkiSan Diego
Ajanjakso06/02/201209/02/2012

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  • Siteeraa tätä

    Aydogan, D. B., & Hyttinen, J. (2012). Binary image representation by contour trees. teoksessa Medical Imaging 2012: Image Processing (Vuosikerta 8314). [83142X] https://doi.org/10.1117/12.911493