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Research on Low-Resolution Pattern Coding Recognition Method Based on Hu-DBN
- Source :
- Xibei Gongye Daxue Xuebao, Vol 38, Iss 6, Pp 1218-1224 (2020)
- Publication Year :
- 2020
- Publisher :
- The Northwestern Polytechnical University, 2020.
-
Abstract
- The feature image code represented by the two-dimensional code is the key reference for global positioning in the visual navigation of mobile robots. Although reducing the acquired low-resolution image helps to reduce the real-time performance of the algorithm, the acquired feature image is more susceptible to motion blur-based interference and affects the accuracy of recognition, which causes the positioning failure of the whole multi-intelligence, in which the body control system is invalid. In this paper, an optimized low-resolution feature image code recognition method is proposed. In the preprocessing part, the characteristic image is converted into the characteristic signal matrix of Hu invariant moments, and then the characteristic image is added to the characteristic signal matrix as a characteristic component, and then the Hu-DBN neural network signal classifier is used to construct the signal matrix so as to achieve accurate recognition of low-resolution custom image signature images under high motion tolerance conditions. It not only avoids the problem of classical pattern recognition relying on model experience and poor adaptability of the scene, but also avoids the problem of high computational complexity and recognition efficiency of directly deep learning methods such as YOLO. The deployment of the mobile robot instance deployment test shows that the average recognition rate is of 96.3% at a resolution of 640×480@Pixs and motion speed of 0.5 m/s, which proves the effectiveness of the present method.
- Subjects :
- Computational complexity theory
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
mobile robot
03 medical and health sciences
0202 electrical engineering, electronic engineering, information engineering
Computer vision
low resolution dynamic image
030304 developmental biology
Motor vehicles. Aeronautics. Astronautics
0303 health sciences
Artificial neural network
business.industry
Deep learning
Motion blur
General Engineering
hu-invariant moment
Mobile robot
TL1-4050
calibration plate recognition
High-motion
Feature (computer vision)
point diffusion model
Pattern recognition (psychology)
020201 artificial intelligence & image processing
Artificial intelligence
business
Subjects
Details
- Language :
- Chinese
- ISSN :
- 26097125 and 10002758
- Volume :
- 38
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- Xibei Gongye Daxue Xuebao
- Accession number :
- edsair.doi.dedup.....ceaf899f3522d71e80cab3721355a6e6