Automation of geometric feature computation through image processing approach for single-layer laser deposition process-Reference-Cited by-同舟云学术

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Automation of geometric feature computation through image processing approach for single-layer laser deposition process

Published:2020-09-01 Issue:9 Volume:33 Page:895-910
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Patil Deepika Bhanudas¹^ORCID,Nigam Akriti¹^ORCID,Mohapatra Subrajeet¹

Affiliation:

1. Department of Computer Science and Engineering, Birla Institute of Technology Mesra, Ranchi, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2020.1815843

Reference33 articles.

1. Processing, Microstructure and Mechanical Properties of Air Plasma-Sprayed Ceria-Yttria Co-stabilized Zirconia Coatings

2. Data model for additive manufacturing digital thread: state of the art and perspectives

3. STEP-NC digital thread for additive manufacturing: data model, implementation and validation

4. Machine learning-based image processing for on-line defect recognition in additive manufacturing

5. A Computational Approach to Edge Detection

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Deep Learning Approach to Classify and Detect Defects in the Components Manufactured by Laser Directed Energy Deposition Process;Machines;2023-08-25

2. An image processing approach to measure features and identify the defects in the laser additive manufactured components;2021 4th International Conference on Recent Trends in Computer Science and Technology (ICRTCST);2022-02-11

3. Image processing approach to automate feature measuring and process parameter optimizing of laser additive manufacturing process;Journal of Manufacturing Processes;2021-09

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