Dr. Gordana Jovanovic Dolecek, IET Signal Processing Guest Editor
Dr. Gordana Jovanovic Dolecek, researcher at the INAOE Electronics Coordination, and Dr. Namik Cho, professor at the Department of Electrical and Computer Engineering at Seoul National University, organized a special issue in the IET Signal Processing magazine with the title: "Advances in image processing using machine learning techniques", published in vol.16, No.6 of the journal in August 2022 (https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/sil2 .12146).
Machine learning (ML) has a high potential to efficiently solve problems in various areas, including very complex problems but also simple problems.
The power of ML comes from its ability to learn from data, and this power has increased dramatically in the last decade. Machine learning is now everywhere in everyday life, business applications, scientific applications in engineering, medicine, biology, astronomy, etc. Many ML algorithms have now been improved and updated over the years, including those based on Matlab and Python. Machine learning models are roughly classified as supervised learning, unsupervised learning, and reinforcement learning.
Image processing has been an important area of research for many years, finding applications in medicine, astronomy, biology, different areas of engineering, etc. With recent advances in digital technology, there is an eminent integration of ML and image processing to help solve complex problems. problems.
In this special issue, nine articles are published. The first six cover the following topics: image prediction, image segmentation, clustering, compressed detection, variational learning, and dynamic light coding. The following three papers cover critical applications such as remote acoustic time parametric imaging of geological systems, image recognition and classification in the maritime industry, and image classification in overhead insulator monitoring.
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