Segmentation of thin section images for grain size analysis using region competition and edge-weighted region merging

Computers and Geosciences

Volumn 72, Issue , 2014, Pages 33-48

  Jungmann, Matthias ^a   Pape, Hansgeorg ^b   Wißkirchen, Peter ^a   Clauser, Christoph ^b   Berlage, Thomas ^a  

^a FRAUNHOFER INSTITUTE FOR APPLIED INFORMATION TECHNOLOGY FIT   (Germany)

^b RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

Classification; Minimum Description Length; Region competition; Region merging; Segmentation; Thin section image

Indexed keywords

CLASSIFICATION (OF INFORMATION); DIFFERENTIAL EQUATIONS; MERGING; QUARTZ;

CRYSTALLIZATION PROCESS; INTENSITY MEASUREMENTS; MINIMUM DESCRIPTION LENGTH; MINIMUM DESCRIPTION LENGTH PRINCIPLE; REGION COMPETITION; REGION-MERGING; THIN SECTION; VOLUMETRIC STRUCTURES;

IMAGE SEGMENTATION;

ALGORITHM; ERROR ANALYSIS; GRAIN SIZE; IMAGE ANALYSIS; IMAGE CLASSIFICATION; MICROSCOPY; QUARTZ; SANDSTONE; ANHYDRITE; CLASSIFICATION; CRYSTALLIZATION; PHYSICAL PROPERTY; THIN SECTION;

EID: 84904915286     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2014.07.002     Document Type: Article

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