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Volumn 19, Issue 8, 2004, Pages 755-762

Towards automation of palynology 2: The use of texture measures and neural network analysis for automated identification of optical images of pollen grains

Author keywords

Automation; Classification; Neural networks; Pollen; Texture measures

Indexed keywords

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; AUTOMATION; IMAGE CLASSIFICATION; PALYNOLOGY; POLLEN; TEXTURE;

EID: 10944224185     PISSN: 02678179     EISSN: None     Source Type: Journal    
DOI: 10.1002/jqs.874     Document Type: Article
Times cited : (54)

References (26)
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    • this issue
    • Treloar WJ, Taylor GE, Flenley JR. 2004. Towards automation of palynology: 1. Analysis of pollen shape and omamentation using simple geometric measures, derived from scanning electron microscope images. Journal of Quaternary Science 19(8): 745-754 (this issue).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.