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Detection of small-sized insect pest in greenhouses based on multifractal analysis
Li Y(李岩); Xia, Chunlei; Lee, Jangmyung
作者部门水下机器人研究室
关键词Multifractal Analysis Robot Vision Image Processing Pest Detection Small-size Pest
发表期刊Optik
ISSN0030-4026
2015
卷号126期号:19页码:2138-2143
收录类别SCI ; EI
EI收录号20152700989024
WOS记录号WOS:000364604200080
产权排序1
资助机构National Research Foundation of Korea (NRF) Grant funded by the Korean Government (MSIP) (grant no. NRF-2013R1A1A2021174).
摘要A new application of multifractal analysis for the detection of small-sized pests (e.g., whitefly) from leaf surface images in situ is proposed in this paper. Multifractal analysis was adopted for segmentation of whitefly images based on the local singularity and global image characters with the regional minima selection strategy. According to the multifractal dimension, the candidate blobs of whiteflies were initially defined from the leaf image. The regional minima were utilized for feature extraction of candidate whitefly image areas and the performance was compared to that of the fixed threshold. Subsequently, most false alarms from leaf veins were decreased by consideration of the size and shape of the whiteflies. Experiments were conducted with field images in a greenhouse. Detection results were compared with other adaptive segmentation algorithms. Values of F measuring precision and recall scores were higher for the proposed multifractal analysis (88.6%) than for conventional methods such as Watershed (60.2%) and Efficient Graph-based Image Segmentation (EGBIS; 42.8%). The true-positive rate of multifractal analysis was 86.9% and the false-positive rate was at the minimum level of 8.2%. Overall, the detection of small-sized pests is most feasible with the proposed multifractal analysis under greenhouse conditions.
语种英语
WOS标题词Science & Technology ; Physical Sciences
WOS类目Optics
关键词[WOS]IMAGE SEGMENTATION ; MACHINE VISION ; MANAGEMENT ; EXTRACTION ; ALGORITHM ; CROPS ; GRAIN
WOS研究方向Optics
引用统计
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/16465
专题水下机器人研究室
通讯作者Lee, Jangmyung
作者单位1.Department of Electrical Engineering, Pusan National University, Busan, Korea, Republic of
2.SPENALO Robot Technology Research Center, Pusan National University, Busan, Korea, Republic of
3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
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GB/T 7714
Li Y,Xia, Chunlei,Lee, Jangmyung. Detection of small-sized insect pest in greenhouses based on multifractal analysis[J]. Optik,2015,126(19):2138-2143.
APA Li Y,Xia, Chunlei,&Lee, Jangmyung.(2015).Detection of small-sized insect pest in greenhouses based on multifractal analysis.Optik,126(19),2138-2143.
MLA Li Y,et al."Detection of small-sized insect pest in greenhouses based on multifractal analysis".Optik 126.19(2015):2138-2143.
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