In:
Recent Advances in Computer Science and Communications, Bentham Science Publishers Ltd., Vol. 16, No. 6 ( 2023-07)
Abstract:
At present, image recognition technology first classifies images and outputs category
information through the neural network. The next step involves the search. Before retrieval, the feature database needs to be established, followed by one-to-one correspondence. This method is
tedious, time-consuming and has low accuracy. In computer vision research, researchers have proposed various image recognition methods to be applied in various fields and made many research achievements. However, at present, the accuracy, stability and time efficiency cannot
meet the needs of practical work. In terms of UAV image recognition, high accuracy and low consumption are required. Previous methods require huge databases, which increases the
consumption of UAVs. Taking aerial transmission and line images as the research object, this paper proposes a method of image recognition based on chaotic synchronization. Firstly, the
image is used as a function to construct a dynamic system, and the function structure and parameters are adjusted to realize chaos synchronization. In this process, different types of
images are identified. At the same time, we research this dynamic system characteristics and realize the mechanism of image recognition. Compared with other methods, the self-built aerial
image data set for bird's nest identification, iron frame identification and insulator identification has the characteristics of a high identification rate and less calculation time. It is preliminarily
proven that the method of synchronous image recognition is practical, and also worthy of further research, verification and analysis.
Type of Medium:
Online Resource
ISSN:
2666-2558
DOI:
10.2174/2666255816666221201155914
Language:
English
Publisher:
Bentham Science Publishers Ltd.
Publication Date:
2023
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