ApLeaf: An efficient android-based plant leaf identification system

doi:10.1016/j.neucom.2014.02.077

科研成果详情

题名	ApLeaf: An efficient android-based plant leaf identification system
作者	Zhao，Zhong Qiu 1,2; Ma，Lin Hai 1; Cheung，Yiu ming 2,3,4; Wu，Xindong 1,5; Tang，Yuanyan 6; Chen，Chun Lung Philip 6
发表日期	2015-03-03
发表期刊	Neurocomputing
ISSN/eISSN	0925-2312
卷号	151 期号:P3 页码:1112-1119
摘要	To automatically identify plant species is very useful for ecologists, amateur botanists, educators, and so on. The Leafsnap is the first successful mobile application system which tackles this problem. However, the Leafsnap is based on the IOS platform. And to the best of our knowledge, as the mobile operation system, the Android is more popular than the IOS. In this paper, an Android-based mobile application designed to automatically identify plant species according to the photographs of tree leaves is described. In this application, one leaf image can be either a digital image from one existing leaf image database or a picture collected by a camera. The picture should be a single leaf placed on a light and untextured background without other clutter. The identification process consists of three steps: leaf image segmentation, feature extraction, and species identification. The demo system is evaluated on the ImageCLEF2012 Plant Identification database which contains 126 tree species from the French Mediterranean area. The outputs of the system to users are the top several species which match the query leaf image the best, as well as the textual descriptions and additional images about plant leaves, flowers, etc. Our system works well with state-of-the-art identification performance.
关键词	Android application Feature fusion Image retrieval Plant identification
DOI	10.1016/j.neucom.2014.02.077
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-84918522479
引用统计	被引频次：52[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/6454
专题	北师香港浸会大学
作者单位	1.College of Computer Science and Information Engineering,Hefei University of Technology,Hefei,230009,China 2.Department of Computer Science,Hong Kong Baptist University,Hong Kong,China 3.United International College,Beijing Normal University,Zhuhai,China 4.Hong Kong Baptist University,Zhuhai,China 5.Department of Computer Science,University of Vermont,United States 6.Faculty of Science and Technology,University of Macau,Macau,Macao
推荐引用方式 GB/T 7714	Zhao，Zhong Qiu,Ma，Lin Hai,Cheung，Yiu minget al. ApLeaf: An efficient android-based plant leaf identification system[J]. Neurocomputing, 2015, 151(P3): 1112-1119.
APA	Zhao，Zhong Qiu, Ma，Lin Hai, Cheung，Yiu ming, Wu，Xindong, Tang，Yuanyan, & Chen，Chun Lung Philip. (2015). ApLeaf: An efficient android-based plant leaf identification system. Neurocomputing, 151(P3), 1112-1119.
MLA	Zhao，Zhong Qiu,et al."ApLeaf: An efficient android-based plant leaf identification system". Neurocomputing 151.P3(2015): 1112-1119.