Improved Performance of Canny Edge Detection in Low-Light Conditions-Reference-Cited by-同舟云学术

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Improved Performance of Canny Edge Detection in Low-Light Conditions

Published:2023-02-02 Issue: Volume: Page:
ISSN:
Container-title:2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)
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Author:

Dadi Pradeep Surya¹,G Saranya²,T Tamilvizhi³,Nelson Leema⁴,R Surendran⁵

Affiliation:

1. Chennai Institute of Technology,Department of Mechatronics Engineering,Chennai,India

2. Amrita Vishwa Vidyaapeetham Chennai Campus,Amrita School of Computing,Department of Computer Science and Engineering,Chennai,India

3. Panimalar Engineering College,Department of Computer Science and Engineering,Chennai,India

4. Chitkara University Institute of Engineering & Technology, Chitkara University,Department of Computer Science and Engineering,Punjab,India

5. Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10073654/10073655/10073915.pdf?arnumber=10073915

Reference13 articles.

1. Canny edge detection on NVIDIA CUDA;luo;Proc IEEE CVPRW,2008

2. Canny edge detection enhancement by scale multiplication

3. Radio Frequency Identification (RFID) based ubiquitous health care data handling

4. A Distributed Canny Edge Detector: Algorithm and FPGA Implementation;qian;Image Processing IEEE Transactions on,2014

5. Identification of Cyber Threats and Parsing of Data

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