From stochastic completion fields to tensor voting

M.A. Almsick, van, R. Duits, E.M. Franken, B.M. Haar Romenij, ter

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

8 Citaten (Scopus)

Samenvatting

Several image processing algorithms imitate the lateral interaction of neurons in the visual striate cortex V1 to account for the correlations along contours and lines. Here we focus on two methodologies: tensor voting by Guy and Medioni, and stochastic completion fields by Mumford, Williams and Jacobs. The objective of this article is to compare these two methods and to place them into a common mathematical framework. As a consequence we obtain a sound stochastic foundation of tensor voting, a new tensor voting field, and an analytic approximation of the stochastic completion kernel.
Originele taal-2Engels
TitelDeep Structure, Singularities, and Computer Vision (First International Workshop, DSSCV 2005, Maastricht, The Netherlands, June 9-10, 2005, Revised Selected Papers)
RedacteurenO.F. Olsen, L.M.J. Florack, A. Kuijper
Plaats van productieBerlin
UitgeverijSpringer
Pagina's124-134
ISBN van geprinte versie3-540-29836-3
DOI's
StatusGepubliceerd - 2005

Publicatie series

NaamLecture Notes in Computer Science
Volume3753
ISSN van geprinte versie0302-9743

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  • Citeer dit

    Almsick, van, M. A., Duits, R., Franken, E. M., & Haar Romenij, ter, B. M. (2005). From stochastic completion fields to tensor voting. In O. F. Olsen, L. M. J. Florack, & A. Kuijper (editors), Deep Structure, Singularities, and Computer Vision (First International Workshop, DSSCV 2005, Maastricht, The Netherlands, June 9-10, 2005, Revised Selected Papers) (blz. 124-134). (Lecture Notes in Computer Science; Vol. 3753). Springer. https://doi.org/10.1007/11577812_11