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题名: Detection of small-sized insect pest in greenhouses based on multifractal analysis
作者: 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
刊名: Optik
ISSN号: 0030-4026
出版日期: 2015
卷号: 126, 期号:19, 页码:2138-2143
收录类别: SCI ; EI
产权排序: 1
项目资助者: 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记录号: WOS:000364604200080
WOS标题词: Science & Technology ; Physical Sciences
类目[WOS]: Optics
关键词[WOS]: IMAGE SEGMENTATION ; MACHINE VISION ; MANAGEMENT ; EXTRACTION ; ALGORITHM ; CROPS ; GRAIN
研究领域[WOS]: Optics
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/16465
Appears in Collections:水下机器人研究室_期刊论文

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Recommended Citation:
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.
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