Abstract
This paper reviews two problems occur in the online real-time detection for cold rolled medium plates-low transmission efficiency and poor performance. The detecting process involves sending collected images to the industrial personal computer (IPC) of a camera where a rapid contour detection scheme of medium plates based on wavelet transform is presented. The overall architecture, contour detection principle and new two graded data transmission structure which are different from traditional ones will be analyzed. In the first place, the wavelet scalar quantization algorithm is used for pre-processing and compressing the picture captured by the image acquisition module. Subsequently, the processed data will be sent to the IPC where it is then uncompressed. Results show that the compressed image size equals 0.09 % of the original one; hence the new method is of capability to improve the overall system effectiveness significantly without affecting the accuracy.
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Acknowledgments
The authors would like to express their gratitude to Professor Hu and Zhidong Zhao for their invaluable help, assistance and guidance throughout this work. This work is supported by Natural Science Foundation of Zhejiang Province under Grant No.LZ14E050003.
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Li, J., Hu, X., Yang, M. (2017). Research on a Rapid Hierarchical Algorithm for the Wavelet Transform Based Contour Detection of Medium Plates. In: Balas, V., Jain, L., Zhao, X. (eds) Information Technology and Intelligent Transportation Systems. Advances in Intelligent Systems and Computing, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-319-38789-5_27
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DOI: https://doi.org/10.1007/978-3-319-38789-5_27
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