Recent Advances and New Trends in Computer Vision and Image Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 October 2025 | Viewed by 108
Special Issue Editor
Interests: computer vision; image processing; medical image processing; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Grounded on visual data, computer vision aims to enable computers to see, understand, decide, and act. Over the years, computational vision has rapidly gained popularity in a wide range of areas, including industry, transportation, agriculture, and medicine. Nowadays, artificial intelligence-powered vision systems are driving the sector to previously unseen levels of popularity by increasing their efficiency and accuracy.
Thus, the applications of such systems are expected to continue to increase alongside the artificial intelligence, machine learning, and deep learning algorithms that are being developed within these frameworks, which have recently achieved great success over conventional techniques. Hence, the community has high expectations for where they foresee these new artificial intelligence-powered techniques in the coming years, in terms of discipline and practice. Thus, this Special Issue aims to provie insight on this future.
This Special Issue aims at presenting new technical approaches in computer vision research and development with particular emphasis on the engineering and technological aspects of image processing and computer vision and their contributions to a wide range of application fields, including (but not limited to) the following:
- Agriculture;
- Healthcare;
- Environmental monitoring;
- Security and surveillance;
- Automotive industry;
- Entertainment;
- Robotics.
Dr. Pedro Couto
Guest Editor
Manuscript Submission Information
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Keywords
- computer vision
- image processing
- video processing
- artificial intelligence
- and machine learning
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