Machine Learning Based Image Processing and Pattern Recognition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (30 May 2023) | Viewed by 5410
Special Issue Editors
Interests: image processing; pattern recognition; facial expression recognition; activity recognition
Interests: deep learning; medical imaging; artificial intelligence; healthcare
Special Issue Information
Dear Colleagues,
The research on machine learning is unceasingly developing at an incredible speed. The “machine learning (ML)-based image processing”, a prequel to the current state of ML, provided us with fascinating techniques for image processing and pattern recognition. However, nowadays, we are experiencing new developments emerging from everywhere in the world and the improvements seen in the algorithms in recent years have completely remodeled the field.
Accordingly, the goal of this Special Issue (SI) is to inspire a systematic study of the recent algorithms of machine learning for image processing and pattern recognition and to associate these algorithms with real-life applications. Moreover, this Special Issue is focused on the applications of image processing and pattern recognition in different domains and in different environments. Recent advancements in image processing and pattern recognition have enabled us to boost the development of intelligent applications in different domains. We see these intelligent applications that are integrated as real-world applications collecting data seamlessly and continuously, and performing pattern recognition on the huge amount of data collected from our environments. These intelligent applications are developed to be adaptable in different unexpected conditions, which makes these applications highly useful in real-world environments.
From the application side, we welcome corresponding papers introducing novel machine learning models for computer vision, machine intelligence, medical imaging, facial expression recognition, activity recognition, and scene understanding. Of course, we are not limiting ourselves to only these topics, and any theoretically solid contribution to the field of machine learning related to image processing or pattern recognition will be considered.
Dr. Muhammad Hameed Siddiqi
Dr. Yousef Alhwaiti
Dr. Asfandyar Khan
Guest Editors
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Keywords
- image processing
- pattern recognition
- machine intelligence
- computer vision
- segmentation
- feature extraction and selection
- classification
- medical imaging
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