Insect identification device and method based on three-dimensional simulation

Abstract

The invention provides an insect identification device and method based on three-dimensional simulation. The device comprises a standard posture insect three-dimensional reconstruction module, an insect three-dimensional information acquisition module and an insect identification module, wherein the standard posture insect three-dimensional reconstruction module is used for constructing a standard posture insect three-dimensional model library; the insect three-dimensional information acquisition module is used for obtaining the image, the three-dimensional posture and the two-dimensional feature information of an insect to be identified; the insect identification module is used for carrying out the primary election of insect species on the basis of the three-dimensional posture and the two-dimensional feature information of the insect to be identified, a corresponding three-dimensional model is selected according to the primary election insect species in the three-dimensional model library, deformation is carried out according to the three-dimensional posture information to obtain the three-dimensional model of the corresponding posture of each type of insect and independently obtain a two-dimensional projection image corresponding to the three-dimensional model, the two-dimensional image feature information of the insect to be identified is calculated, a Mahalanobis distance between the obtained two-dimensional projection image feature information is obtained, and the insect type corresponding to the two-dimensional projection image corresponding to a minimum Mahalanobis distance is taken as the type of the insect to be identified. By use of the method and the device, an insect identification accuracy rate can be improved.

Description

technical field [0001] The invention relates to the field of agricultural technology, in particular to an insect identification device and method based on three-dimensional simulation. Background technique [0002] At present, the collection of crop disease and insect pest monitoring information mainly adopts the combination of pest situation forecasting light monitoring, disease and pest observation field investigation and field general survey. Most of the data must be counted through in-depth field investigation by forecasting technicians. Traditional survey methods are time-consuming and laborious, and it is difficult to achieve accurate forecasting results. In order to solve the problem of time-consuming and laborious acquisition of pest monitoring data, emerging pest automatic identification and counting technologies are constantly being explored. At present, the main monitoring technologies include image recognition, infrared sensor monitoring, sound feature detection,...

AI Technical Summary

Problems solved by technology

This method is based on the fact that the insect image information acquired by the planar stage is one-sided, or the image is blocked by transparent objects, the integrity of the insect image information is affected, and the recognition effect of the insect is affected.

When a single insect recognition algorithm based on two-dimensional images encounters insects of various types and postures, the universality of the recognition algorithm is affected due to the lack of information when the three-dimensional insect body is used for two-dimensional image acquisition, resulting in The accuracy of automatic insect recognition is not high

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