Automatic small insect trapping detection method and system thereof
A detection method and detection system technology, which can be applied to devices, instruments, and counting objects for catching or killing insects, can solve problems such as low survey efficiency, complex structure and composition, and large survey errors, so as to improve environmental adaptability, improve The effect of collecting image quality and improving counting accuracy
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Embodiment 1
[0084] Please refer to Figure 8 , this embodiment provides a fully automatic micro-insect trapping detection method, which is suitable for accurate counting, analysis and processing of received micro-insect collection images, and provides technical support for the control and nuisance of micro-pest population density. The following is a specific description of the trapping analysis of a tiny pest, Bemisia tabaci, as an example.
[0085] S1: Read an image of an insect trap that traps Bemisia tabaci within a preset time period, recorded as gi (i=1,2,3,4...), i represents the i-th trap that has been read board image;
[0086] S2: Insect trap positioning: The read gi image information may include the target insect trap and some interfering object tapes. According to the different characteristics of the insect trap (yellow) and the tape (gray), the yellow area in the positioning image is extracted to obtain a complete insect trap image, which is denoted as Ii;
[0087] S3: Bemi...
Embodiment 2
[0098] Please refer to Figure 1-Figure 5 ,as well as Figure 7 and Figure 8 , this embodiment provides a fully automatic detection system for trapping tiny insects, including an image acquisition device and an image processing device connected wirelessly or wiredly, preferably wirelessly.
[0099] (1) Image processing device
[0100] The image processing device of this embodiment is implemented based on the method for analyzing images collected in Embodiment 1, specifically:
[0101] The image processing device comprises a wireless receiving module 23, a target recognition module 24, a first target separation module 25, a second target separation module 26 and a counting module 27 connected in sequence; the wireless receiving module 23 is wireless with the wireless sending module connect;
[0102] The target recognition module 24, corresponding to the implementation of S3 in Embodiment 1, is mainly used to extract the color features and morphological features of each obj...
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