文献
J-GLOBAL ID:201702211762749140
整理番号:17A0275029
ヒト視覚と情報理論に基づく赤外線画像の顕著性検出【Powered by NICT】
Infrared image saliency detection based on human vision and information theory
著者 (6件):
Qin Shiyu
(Key Laboratory of Signal and Information Processing of Chongqing, Chongqing University of Posts and Telecommunications, China)
,
Wang Lan
(Key Laboratory of Signal and Information Processing of Chongqing, Chongqing University of Posts and Telecommunications, China)
,
Cheng Hua
(China Ship Development and Design Center, Wuhan, China)
,
Feng Qi
(Key Laboratory of Signal and Information Processing of Chongqing, Chongqing University of Posts and Telecommunications, China)
,
Zhang Minwen
(Key Laboratory of Signal and Information Processing of Chongqing, Chongqing University of Posts and Telecommunications, China)
,
Gao Chenqiang
(Key Laboratory of Signal and Information Processing of Chongqing, Chongqing University of Posts and Telecommunications, China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2016
号:
CISP-BMEI
ページ:
484-488
発行年:
2016年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)