Two methods of random seed generation to avoid over-segmentation with stochastic watershed: Application to nuclear fuel micrographs

Journal of Microscopy

Volumn 236, Issue 1, 2009, Pages 79-86

  Tolosa, S Cativa ^a   Blacher, S ^b   Denis, A ^a   Marajofsky, A ^a   Pirard, J P ^b   Gommes, C J ^b  

^a DEPARTAMENTO DE FÍSICA   (Argentina)

^b UNIVERSITY OF LIÈGE   (Belgium)

Author keywords

Grain boundaries; Image analysis; Stochastic methods

Indexed keywords

IMAGE SEGMENTATION; NUCLEAR FUELS; PROBABILITY DENSITY FUNCTION; STOCHASTIC SYSTEMS; WATERSHEDS;

GENERATION PROCESS; GRAIN-BOUNDARIES; IMAGE-ANALYSIS; NON-UNIFORM; OVER SEGMENTATION; RANDOM SEEDS; SEEDS GENERATION; STOCHASTIC METHODS; STOCHASTICS; WATERSHEDS ALGORITHMS;

GRAIN BOUNDARIES;

NUCLEAR FUEL;

ALGORITHM; ARTICLE; DENSITY GRADIENT; IMAGE ANALYSIS; IMAGE PROCESSING; METHODOLOGY; MICROSCOPY; POISSON DISTRIBUTION; PRIORITY JOURNAL; PROBABILITY; STOCHASTIC MODEL; WATERSHED;

EID: 70349330985     PISSN: 00222720     EISSN: 13652818     Source Type: Journal    
DOI: 10.1111/j.1365-2818.2009.03200.x     Document Type: Article

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