Ecological biological recognition method based on ScrachDet algorithm
A biometric and ecological technology, applied in the field of biometrics, can solve the problems of low recognition rate and prone to deviation, and achieve the effect of improving the detection effect and the biometric recognition rate.
Pending Publication Date: 2022-08-02
澜途集思生态科技集团有限公司
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Problems solved by technology
However, in the existing aquatic biological image recognition, the feature recognition is prone to deviation, and the recognition rate is low
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[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments.
[0022] refer to figure 1 , an ecological biometric identification method based on the ScratchDet algorithm, including the following steps:
[0023] S1 initiates an ecological biometric identification request, collects biological images through the collector in the ecological environment according to the request, and stores the collected biological images;
[0024] S2 filters the collected biological image data to obtain processed biological image data;
[0025] S3 acquires the biological image to be recognized after processing, and inputs the biological image to be recognized into the ScratchDet target detection network for target detectio...
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The invention discloses an ecological biological recognition method based on a ScrachDet algorithm, and the method comprises the following steps: initiating an ecological biological recognition request, collecting a biological image in an ecological environment through a collector according to the request, and storing the collected biological image; filtering the acquired biological image data to obtain processed biological image data; obtaining a processed biological image to be recognized, and inputting the biological image to be recognized into the ScrachDet target detection network for target detection; and dividing the acquired biological image into a plurality of local areas and classifying the local areas to output a classification result and characterization information. According to the method, the single-shot target detection network-ScrachDet based on the scratch training is combined with the BN operation to facilitate the convergence of the network, the method is suitable for any type of network structures, a new backbone Root-ResNet is introduced, the detection effect of the small target is improved, and the biological recognition rate is improved.
Description
technical field [0001] The invention relates to the technical field of biometric identification, in particular to an ecological biometric identification method based on the ScratchDet algorithm. Background technique [0002] Aquatic organisms are an effective reference for judging whether river water is polluted. The distribution and concentration of different chemical substances in the river water will determine the type and composition of aquatic organisms in the river. Some aquatic organisms can reproduce quickly in one river condition and die in another, depending on the composition of the river water. Therefore, as long as the type composition of aquatic organisms in the river is analyzed, it is possible to judge what kind of chemical substances exist in a certain river section. Aquatic biological communities have an intricate relationship with the water environment and play an important role in water quality changes. Different types of aquatic organisms have differe...
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IPC IPC(8): G06V40/10G06V10/764G06V10/20G06V10/25G06V10/28G06V10/30G06V10/40G06V10/80G06V10/82G06N3/04G06N3/08
CPCG06V40/10G06V10/764G06V10/40G06V10/28G06V10/20G06V10/30G06V10/82G06V10/806G06V10/25G06N3/08G06V2201/07G06N3/045Y02A20/20
Inventor 杨志峰沈永明张远蔡宴朋
Owner 澜途集思生态科技集团有限公司