%0 Conference Proceedings
%T A Local Gaussian Filter and Adaptive Morphology as Tools for Completing Partially Discontinuous Curves
%+ Uniwersytet Jagielloński w Krakowie = Jagiellonian University (UJ)
%+ Jan Kochanowski University
%A Spurek, Przemysław
%A Chaikouskaya, Alena
%A Tabor, Jacek
%A Zając, Elzbieta
%Z Part 8: Pattern Recognition and Image Processing
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Ho Chi Minh City, Vietnam
%Y Khalid Saeed
%Y Václav Snášel
%I Springer
%3 Computer Information Systems and Industrial Management
%V LNCS-8838
%P 559-570
%8 2014-11-05
%D 2014
%R 10.1007/978-3-662-45237-0_51
%K covariance matrix
%K Gaussian filter
%K mathematical morphology
%K electron microscopy
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X This paper presents a method for extraction and analysis of curve–type structures, which consist of disconnected components. Such structures are found in electron–microscopy (EM) images of metal nano- grains, which are widely used in the field of nanosensor technology. The topography of metal nanograins in compound nanomaterials is crucial to nanosensor characteristics. The method of completing such templates consists of three steps. In the first step, a local Gaussian filter is used with different weights for each neighborhood. In the second step, an adaptive morphology operation is applied to detect the endpoints of curve segments and connect them. In the last step, pruning is employed to extract a curve which optimally fits the template.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01405643/document
%2 https://inria.hal.science/hal-01405643/file/978-3-662-45237-0_51_Chapter.pdf
%L hal-01405643
%U https://inria.hal.science/hal-01405643
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-LNCS-8838
%~ IFIP-CISIM