Providing Security and Managing Quality Through Machine Learning Techniques for an Image Processing Model in the Industrial Internet of Things-Reference-Cited by-同舟云学术

Providing Security and Managing Quality Through Machine Learning Techniques for an Image Processing Model in the Industrial Internet of Things

Published:2021-07-16 Issue: Volume: Page:161-177
ISSN:2522-8595
Container-title:Smart IoT for Research and Industry
language:
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Author:

Vineetha B.,Madhumala R. B.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-71485-7_10

Reference37 articles.

1. Demant, C., Streicher-Abel, B., & GanicaCarsten, G. (2013). Industrial image processing: Visual quality control in manufacturing (2nd ed.). New York: Springer Science + Business Media.

2. Malamas, E. N., Petrakis, E. G., Zervakis, M., et al. (2003). A survey on industrial vision systems, applications and tools. Image and Vision Computing, 21(2), 171–188.

3. Moganti, M., Ercal, F., Dagli, C. H., et al. (1996). Automatic PCB inspection algorithms: A survey. Computer Vision and Image Understanding, 63(2), 287–313.

4. Kim, K. H., Kim, Y. W., & Suh, S. W. (1998, 13–16 Sept). Automatic visual inspections system to detect wrongly attached components. In International conference on signal processing applications and technology (ICSPAT’98), Toronto, ON, Canada. ACM SIGPLAN.

5. Chung, Y., Kim, K. H., & Kim, H. B. (1997, 14–17 Sept). Extracting of line features for automated inspection of vehicle doors. In International conference on signal processing applications and technology. San Diego, CA.

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