Abstract
Although the computer vision course has a strong theoretical and practical characteristics, many colleges or universities are willing to offer this course as compulsory or elective course for students of information specialty. To aim at the training objectives of colleges’ information undergraduates, we introduce the basic requirements of digital image processing in modern information technology field, point out the limitations of traditional textbooks and learning method on training students ability, and then propose system ability oriented mode for learning practices, it is essential to improve the effects of theoretical and practical learning, and meanwhile, it is significant to enhance the professional basis for undergraduates of information related specialty.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Li, G., Wan, Y., Liu, J.: Innovatory experiment teaching demonstration of digital image processing practice. Bull. Surv. Mapp. 10, 101–103 (2012)
Liu, W., He, P., Yuan, Q., Fang, H.: Advantage of applying network multimedia in digital image processing teaching. China Mod. Educ. Equip. 23, 57–58 (2010)
Wu, D.: Reform on teaching methods and concrete practice based on the research-oriented teaching. J. Wuhan Univ. (Nat. Sci. Ed.) 58, 160–162 (2012)
Chen, J., Li, W.: Application of project-driven mode teaching in digital image processing. China Educ. Technol. Equip. 3, 38–39 (2011)
Shen, L., Li, H., Sun, K.: Research on experimental teaching of digital image processing and development of the experimental teaching software. J. Electr. Electron. Eng. Educ. 27, 75–77 (2005)
Zhang, K., Ji, Z.: Exploration of visualization teaching system for digital image processing. J. Electr. Electron. Educ. 29, 113–115 (2007)
Yang, S., Zhang, H.: The development and design of teaching software on “Digital Image Processing”. J. Tianjin Norm. Univ. (Nat. Sci. Ed.) 29, 76–77 (2009)
Zhang, Y., Huang, Y., Wang, H.: Exploration on task-modularization teaching pattern in digital image processing. Lab. Sci. 15, 52–54 (2012)
Wei, G., Wang, Y., Ding, X., He, A.: Explore on teaching reform of digital image processing course. J. Electr. Electron. Educ. 31, 24–25 (2009)
Xue, Y., Han, G., Liang, G., et al.: Discussing and practice on digital signal processing course. J. Electr. Electron. Educ. 31, 22–23 (2009)
Acknowledgements
This research was supported by the Fundamental Research Funds for the Central Universities (Grant Nos. 2662017PY059 and 2662015PY066), and the National Natural Science Foundation of China (Grant Nos. 61176052 and 61432007).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Luo, J., Zhai, R., Peng, H. (2019). Research of Computer Vision Based on System Learning Ability. In: Xhafa, F., Patnaik, S., Tavana, M. (eds) Advances in Intelligent, Interactive Systems and Applications. IISA 2018. Advances in Intelligent Systems and Computing, vol 885. Springer, Cham. https://doi.org/10.1007/978-3-030-02804-6_64
Download citation
DOI: https://doi.org/10.1007/978-3-030-02804-6_64
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-02803-9
Online ISBN: 978-3-030-02804-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)