New Trends in Artificial Intelligence and Pattern Recognition for Image Analysis and Processing

Dear Colleagues,

Artificial intelligence is injecting itself into every aspect of the research environment today, whether in engineering, medicine, or even anthropology. Its rise has been steady over the last two decades; however, researchers did not realize its as of yet unobvious usefulness until very recently. In the USA today, an investment of USD 500 billion is forecast to be spent on AI data centers and other AI-related infrastructure, as the incoming US President has signed an executive order to realize its full potential, thrusting the US into AI prominence around the world.

AI’s influence into image processing was realized about a decade ago with the introduction of YOLO algorithms to detect objects in images, which have created countless applications and research approaches that were previously unthinkable. Today, an unprecedented amount of processing power enables researchers to use AI in many high-dimensional data processing methods, such as image processing, image analysis, and pattern recognition. Many researchers use AI to develop an input-to-output relationship without specifying or analyzing what it is using enormous amount of available data. AI’s ability to detect patterns and features that humans find difficult to point out has been the real reason for its unprecedented success. Many image-related feature extraction efforts are easily handled with convolutional neural network-based deep learning approaches. These have the potential to minimize processing power and speed up the computations to achieve real-time performance. It is fundamentally important for researchers to realize that convolutional neural networks should be used effectively to extract features explicitly for the problem in hand and not to simply use generalized approaches which would result in non-optimized performances. This Special Issue calls for fundamental research and/or research applications using AI for image processing and analysis.

This Special Issue will focus on artificial intelligence-assisted image processing/computer vision tasks that would cover topics such as deep learning, convolutional neural networks, support vector machines, neural networks, and any other related approaches that utilize artificial intelligence for classification tasks. We hope that you will provide articles with a good fit to the existing state-of-the-art approaches, including references to the latest publications and in-depth literature reviews associated with your own research and outcomes.

Dr. Prashan Premaratne
Guest Editor

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• deep learning
• convolutional neural networks
• support vector machines
• neural networks
• any other related approaches that utilize artificial intelligence for classification tasks