数字农科院2.0

Segmentation of touching insects based on optical flow and NCuts

文献类型： 外文期刊

作者： Qing Yao *; Qingjie Liu ; Thomas G. Dietterich ; Sinisa Todorovic ; Jeffrey Lin ; Guangqiang Diao ; Baojun Yang ; Jian Tang

作者机构：

期刊名称： Biosystems Engineering

ISSN： 1537-5110

年卷期： 2013 年 114 卷 2 期

页码：

收录情况： JCR（2021版） ; EI（2021版）

摘要： Counting the number of rice pests captured via light traps each day is very important for monitoring the population dynamics of rice pests in paddy fields. This paper focuses on developing a segmentation method for separating the touching insects in the rice light-trap insect image from our imaging system to automatically identify and count rice pests by photographing them on a glass table. When placed on the glass, many specimens may be touching, which interferes with automated identification. To segment touching insects, this paper describes a method in which the glass table is lightly tapped between successive images, which causes the specimens to move slightly. Optical flow is computed between the two images captured before and after insect motion. Normalized cuts (NCuts), with the optical flow angle as the weight function, was applied to separate the touching insects according to the number of insects in each connected region. We compare our method with the k-means and watershed methods. Our method achieves an average rate of good segmentations of 86.9%. In our future work, we will focus on the identification and counting of rice light-trap pests. (C) 2012 IAgrE. Published by Elsevier Ltd. All rights reserved.

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