Insect identification device and method based on three-dimensional attitude estimation

Abstract

The present invention provides an insect identification device and method based on three-dimensional attitude estimation. The device comprises a three-dimensional attitude information acquisition module for acquiring three-dimensional attitude information of an insect to be identified, and the three-dimensional attitude information includes insect wing rotation angles and trunk deformation information. The device also comprises an insect feature extraction module and an insect type identification module. The insect feature extraction module is used for obtaining feature information of the insect to be identified, wherein the feature information comprises a form feature, a color feature and a texture feature. The insect type identification module is used for a pre-established SVM-based insect identification module to identifying the insect to be identified according to the three-dimensional attitude information and the feature information, so as to obtain the type identification result of the insect to be identified. The insect identification rate can be effectively improved.

Description

technical field [0001] The invention relates to the field of agricultural technology, in particular to an insect recognition device and method based on three-dimensional posture estimation. Background technique [0002] Lepidoptera pests cause serious damage to crops and are the key objects of field pest monitoring. The acquisition of information on the type and quantity of pests is an important prerequisite for precise pest control. At present, the acquisition of pest species and quantity information is mainly through the combination of pest observation field survey and field survey. These methods are time-consuming and labor-intensive, subject to great influence, weak in timeliness, and cannot meet the actual needs of production. With the development of computer technology, image-based pest automatic identification technology has the advantages of saving time, effort, and intelligence. At present, this method has become a main method for automatic identification and counti...

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.

In addition, when the insect recognition algorithm based on image feature information and two-dimensional attitude information encounters insects of various types and attitudes, 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. , affecting the accuracy of automatic insect recognition

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