Image Processing and Pattern Recognition

Dear Colleagues,

The modern world uses a lot of digital imaging, both motion and static, captured through various devices of all kinds, and the trend is rapidly growing. All these images must be processed, implying an understanding of the content and making decisions. Most of the digital content is ultimately irrelevant to the decision-making process but must be examined nevertheless to categorize it. While humans are still the best choice for understanding an image, the sheer amount of digital content to be processed is beyond their capabilities. Besides being a huge task, it is also a repetitive and, after all, menial task, which makes it prone to errors. This is where computers can step in to perform the menial, repetitive tasks that make up the bulk of the processing and leave only the final decision-making steps to humans.

The applications of image processing and recognition are wide and cover all aspects of social and economic activities: agriculture, weather, healthcare, public safety, surveillance, biometrics, document analysis, multimedia, driving aides, self-driving vehicles, robotics, etc.

This Special Issue aims to provide a platform to publish recent original research, review papers, or surveys in the state of the art of theoretical approaches and applications of image processing and recognition.

Topics of interest to this Special Issue include, but are not limited to, the following:

• Image enhancement, restoration, and reconstruction;
• Mathematical methods in image acquisition, processing, and analysis;
• Filtering techniques;
• Multiresolution processing;
• Image compression;
• Feature detection and matching;
• Image segmentation;
• Image registration;
• Object classification and recognition;
• Motion analysis;
• Machine learning and deep learning techniques for image processing;
• Statistical image recognition;
• Biologically inspired methods for image processing and classification;
• Applications.

Technical Program Committee Member
Dr. Stan Alexandru-Daniel
Affiliation: Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010374 Bucharest, Romania

Prof. Dr. Cocianu Catalina-Lucia
Dr. Cristian Răzvan Uscatu
Prof. Dr. Miin-shen Yang
Guest Editors

Manuscript Submission Information

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• image analysis
• image processing
• image understanding
• machine learning and deep learning techniques for image processing and recognition
• evolutionary computing and bio-inspired algorithms for image processing and recognition