Application of digital image processing for automatic detection and characterization of cracked constituent particles/inclusions in wrought aluminum alloys

Materials Characterization

Volumn 60, Issue 9, 2009, Pages 964-970

  Lee, S G ^a   Mao, Y ^b   Gokhale, A M ^b   Harris, J ^b   Horstemeyer, M F ^c  

^a POSCO   (South Korea)

^b Georgia Institute of Technology   (United States)

^c MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

Al alloys; Damage evolution and fracture; Digital image processing; Particle cracking

Indexed keywords

AL-ALLOY; AL-ALLOYS; AUTOMATIC DETECTION; AUTOMATIC SEGMENTATIONS; DAMAGE EVOLUTION; DAMAGE EVOLUTION AND FRACTURE; DIGITAL IMAGE PROCESSING; HOT-ROLLED; MICROSTRUCTURAL DESCRIPTORS; NEAREST NEIGHBOR DISTRIBUTION; PARTICLE CRACKING; ROBUST ESTIMATION; SECOND ORDERS; THEORETICAL MODELS; THERMO-MECHANICAL PROCESSING; TWO-POINT CORRELATION FUNCTION; UNIAXIAL TENSILE LOADING; WROUGHT ALUMINUM ALLOY;

ALUMINA; ALUMINUM; ALUMINUM ALLOYS; CERIUM ALLOYS; CRACK DETECTION; CRACKS; DIGITAL IMAGE STORAGE; FRACTURE; HOT ROLLING; IMAGE PROCESSING; IMAGING SYSTEMS; TENSILE TESTING;

WROUGHT IRON;

EID: 67649973773     PISSN: 10445803     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.matchar.2009.03.014     Document Type: Article

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