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Volumn 12, Issue 1, 2003, Pages 18-25

Recognition of texture types of wear particles

Author keywords

Automation; Co occurrence matrices; Neural networks; Pattern recognition; Texture; Wear particles

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; FAILURE ANALYSIS; IMAGE SEGMENTATION; LUBRICANTS;

EID: 0141938968     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-003-0367-y     Document Type: Article
Times cited : (22)

References (24)
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  • 4
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  • 7
    • 0141948472 scopus 로고
    • The application of computer vision to the classification of wear particles in oil
    • Ph.D. Thesis, University of Wales, Swansea
    • Albidewi IA (1993) The application of Computer Vision to the Classification of Wear Particles in Oil. Ph.D. Thesis, University of Wales, Swansea
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  • 8
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    • Wear debris analysis for condition monitoring
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  • 10
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    • Computer image analysis for identification of wear particles
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    • (1991) Wear , vol.142 , pp. 213-226
    • Thomas, A.D.H.1    Davies, T.2    Luxmoore, A.R.3
  • 16
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    • Integration of gabor functions with coocurrence matrices: Application to woody crop location in remote sensing
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    • Assessing changes in texture periodicity due to appearance loss in carpets: Gray level co-occurrence analysis
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.