TY - JOUR
T1 - Real-time intelligent image processing for security applications
AU - Singh, Akansha
AU - Li, Ping
AU - Singh, Krishna Kant
AU - Saravana, Vijayalakshmi
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2021/10
Y1 - 2021/10
N2 - The advent of machine learning techniques and image processing techniques has led to new research opportunities in this area. Machine learning has enabled automatic extraction and analysis of information from images. The convergence of machine learning with image processing is useful in a variety of security applications. Image processing plays a significant role in physical as well as digital security. Physical security applications include homeland security, surveillance applications, identity authentication, and so on. Digital security implies protecting digital data. Techniques like digital watermarking, network security, and steganography enable digital security.
AB - The advent of machine learning techniques and image processing techniques has led to new research opportunities in this area. Machine learning has enabled automatic extraction and analysis of information from images. The convergence of machine learning with image processing is useful in a variety of security applications. Image processing plays a significant role in physical as well as digital security. Physical security applications include homeland security, surveillance applications, identity authentication, and so on. Digital security implies protecting digital data. Techniques like digital watermarking, network security, and steganography enable digital security.
UR - http://www.scopus.com/inward/record.url?scp=85114349286&partnerID=8YFLogxK
U2 - 10.1007/s11554-021-01169-w
DO - 10.1007/s11554-021-01169-w
M3 - Editorial
AN - SCOPUS:85114349286
SN - 1861-8200
VL - 18
SP - 1787
EP - 1788
JO - Journal of Real-Time Image Processing
JF - Journal of Real-Time Image Processing
IS - 5
ER -