Art
J-GLOBAL ID:201802247684902010
Reference number:18A0226553 Enhancement of deep-sea floor images obtained by an underwater vehicle and its evaluation by crab recognition
水中ビークルで得られた深海底画像の強調とカニの識別によるその評価
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Material: Volume:
22
Issue:
4
Page:
758-770
Publication year:
2017
JST Material Number:
L3249A
ISSN:
0948-4280
CODEN:
JMATF9
Document type:
Article
Article type:
原著論文
Country of issue:
Germany, Federal Republic of (DEU)
Language:
ENGLISH (EN)
Thesaurus term: Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
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Semi thesaurus term: Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (2): JST classification
Category name(code) classified by JST.
Graphic and image processing in general
, Pattern recognition
Reference (20): -
Bazeille S, Quidu I, Jaulin L, and Malkasse JP (2006). Automatic underwater image pre-processing. CMM’06. pp. 1-8.
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Bewley M, Douillard B, Nourani-Vatani N, Friedman A, Pizarro O, and Williams S (2012). Automated species detection: an experimental approach to kelp detection from sea-floor AUV images. Australas Conf Robot Autom pp. 1-10.
- Boudhane M, and Nsiri B (2016). Underwater image processing method for fish localization and detection in submarine environment. J Vis Commun Image Represent 39 pp. 226-238.
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Csurka G, Dance C, Fan L, Willamowski J, and Bray C (2004). Visual categorization with bags of keypoints. Workshop on statistical learning in computer vision 1 pp. 1-16.
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Hulburt EO (1945). Optics of Distilled and Natural Water. J Opt Soc Am 35(11), pp. 698-705.
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