An Image Processing Method for Intelligent Vehicle based on MT9V034
Pages 23 - 28
Abstract
In order to comply with the development trend of intelligent vehicles, an image processing method was designed for intelligent vehicle. The intelligent vehicle used TC264DA as the core control unit and acquired track images through MT9V034 camera. After image pre-processing such as down-sampling, binarization and noise reduction, this project used eight-neighborhood boundary tracing algorithm to obtain the track boundary and the seed area growth algorithm to complete the track. Next, we carried out some tests on a specific track and the results showed that the recognition rate of cross elements can still reach 95% at the speed of 2.8. This speed is competitive in national smart car competition. An improved algorithm based on Otsu algorithm was proposed. It divides the image into bright and grey parts and calculates the segmentation threshold for each part separately. Tests show that the algorithm significantly improves the binarisation of images that are unevenly illuminated.
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Index Terms
- An Image Processing Method for Intelligent Vehicle based on MT9V034
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Published In
March 2023
316 pages
ISBN:9798400700002
DOI:10.1145/3592307
Copyright © 2023 ACM.
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Association for Computing Machinery
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Publication History
Published: 14 August 2023
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ICECC 2023
ICECC 2023: 2023 The 6th International Conference on Electronics, Communications and Control Engineering
March 24 - 26, 2023
Fukuoka, Japan
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