Image perception hash and structural similarity fusion model for parking lot status recognition

In order to improve the recognition accuracy of parking space change, a new fusion model is proposed. The image-aware hash technique and image structure similarity algorithm are combined to construct a new parking space state combination discriminating index due to the accuracy of the recognition. T...

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Bibliographic Details
Published in:Cogent engineering 2019-01, Vol.6 (1)
Main Authors: Yang, Zhi-Fa, Zeng, Huan-Jing, Li, Shi-Wu, Wei, Yu-Nong, Fan, Xian-Jun
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Construction
discriminant index
Engineering
fusion model
Illumination
image perceptual hashing
Occupancy
parking detection
Recognition
Similarity
Snow
structural similarity
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Summary:In order to improve the recognition accuracy of parking space change, a new fusion model is proposed. The image-aware hash technique and image structure similarity algorithm are combined to construct a new parking space state combination discriminating index due to the accuracy of the recognition. Time is used to define the discriminating threshold of the parking space occupancy condition, so as to construct a vehicle position state discriminating fusion model. Based on the model, the parking lot recognition software was developed, and the parking space recognition of three environmental states, such as uniform illumination, uneven illumination and snowfall, was carried out and the validity of the model was verified.
ISSN:2331-1916
2331-1916
DOI:10.1080/23311916.2019.1669390