Applications in Image Analysis and Pattern Recognition

Dear Colleagues,

There could be up to ~80% neurons in the human brain related to processing visual information and cognition. Apparently, image analysis and pattern recognition are at the core of artificial intelligence, which aims to design computer programs to achieve or mimic human-like intelligence in perception and inference in the real world. With the rapid development of visual sensors and imaging technologies, image analysis and pattern recognition techniques have been extensively applied in various artificial intelligence-related areas, from industry and agriculture to surveillance and social security, etc.

Despite the significant success in methods for image analysis and pattern recognition in the past decade, their applications in addressing real problems are still unsatisfactory. Such a status also indicates a non-neglectable gap between theoretical progress and real applications in the related areas. The collection of these topics moves toward narrowing such gaps, and so we invite papers on both theorical and applied issues related to image analysis and pattern recognition.

All interested authors are invited to submit their innovative methods on the following (but are not limited to) aspects:

• Deep learning based methods for image analysis;
• Deep learning based methods for video analysis;
• Image fusion methods and applications;
• Multimedia systems and applications;
• Image enhancement and restoration methods and their applications;
• Image analysis and pattern recognition for robotics and unmanned systems;
• Document image analysis and applications;
• Structural pattern recognition methods and applications;
• Biomedical image analysis and applications;
• Advances in pattern recognition theories.

Prof. Dr. Bin Fan
Dr. Wenqi Ren
Topic Editors