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Volumn 28, Issue 11, 2008, Pages 2104-2108

Segmentation algorithm for apple recognition using image features and artificial neural network

Author keywords

Gray level co ocurrence matrix (GLCM); Image segmentation; Machine vision; Neural network; Texture feature

Indexed keywords

BACKPROPAGATION; CLASSIFIERS; COLOR; COLOR IMAGE PROCESSING; COMPUTER VISION; FRUIT JUICES; FRUITS; IMAGE CLASSIFICATION; IMAGE PROCESSING; IMAGE SEGMENTATION; LEARNING SYSTEMS; OPTICAL PROPERTIES; TEXTURES; TREES (MATHEMATICS);

EID: 57149107011     PISSN: 02532239     EISSN: None     Source Type: Journal    
DOI: 10.3788/AOS20082811.2104     Document Type: Article
Times cited : (31)

References (10)
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  • 2
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  • 3
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    • Nie, S.1    Wang, M.2    Liu, F.3
  • 4
    • 84869321994 scopus 로고    scopus 로고
    • Segmentation of apple fruit from video via background modeling
    • A. L. Tabb, D. L. Peterson, J. Park. Segmentation of apple fruit from video via background modeling [C]. ASABE Meeting, 2006. 063060
    • (2006) ASABE Meeting , pp. 063060
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  • 5
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    • T. Takahashi, S. Zhang, H. Fukuchi. Measurement of 3-D locations of fruit by binocular stereo vision for apple harvesting in an orchard [C]. ASAE Meeting, 2002. 021102
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  • 7
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    • New texture segmentation-based approach for change detection in remote sensing image
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  • 8
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    • Research on computation of GLCM of image texture
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.