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Enterprise Information Systems

Special Issue | Intelligent Image Processing and Perception | Deadline: December 01, 2019

Background

 

Seeing is believing. More than 70 percent of human information comes from the human visual system. The development of inexpensive imaging, storage, transmission, and display devices has revolutionized practices in consumer electronics, industry, medicine, security, military and other fields. Intelligent image processing and perception technology has been applied successfully in more and more fields, such as the automatic item detection and identification technology is widely used in industry, which promotes the development of industrial Internet of things (IIoT); the application of imaging in the medical industry improves the ability to guarantee human health; the development of monitoring system has improved the management level of security, traffic and other industries. Biometric (fingerprint, face etc.) recognition technology facilitates daily life; the Instagram, YouTube, Tik Tok, Douyin and other social software have built a close connection with our daily life. Modern enterprise information system has been inseparable from the support of image information resources and digital image processing & analysis technology. Especially in recent years, with the development of machine learning, deep learning and other artificial intelligence technologies, the development of intelligent image processing and perception technology has brought new opportunities.

Although great progress has been made in intelligent image processing and perception technologies, many problems remain to be solved. The research of intelligent image processing and perception is faced with many challenging problems, especially when dealing with the image acquired under the complex outdoor scene, the image quality will be seriously degraded due to poor lighting conditions, bad weather, noise interference and other factors. In the process of object detection, target classification and identification, target tracking and other analysis processing of the image, it is often suffering from too small target scale and complex background, which leads to missed detection, wrong classification and low tracking ability for a long time. In some specific applications, such as industrial automation, automatic driving, medical diagnosis, public security and military applications, the quality of digital image, the accuracy of image analysis and understanding have significant meaning, so to develop new technologies of intelligent image processing and perception still has brilliant significance.

This special issue is particular interested in recent progress in intelligent image processing and perception that explores emerging themes such as image enhancement processing, target detection, intelligent target recognition, image semantic retrieval by Model-driven or (and) Data-drive methods, and its application to IIoT, public security, medical imaging, etc. Submissions must not have been previously published and must not be currently submitted for publication elsewhere.

Important Dates  
Manuscript submission deadline:Dec 1, 2019
First notification:Feb-Mar, 2020
Final paper due:May, 2020
Publication:Q3, 2020

Topics of interest

 

include but are not limited to:

Image enhancement processing:

  • De-noising
  • De-blurring and super-resolution
  • De-hazing and De-raining
  • Low light image enhancement
  • Non-uniform illumination image correction

Learning-based image analysis:

  • Object detection
  • Target classification and recognition
  • Target tracking
  • Semantic-based image retrieval

Applications and other topics:

  • Medical image processing
  • Magnetic resonance image processing
  • Brain signal processing

Guest Editors

 

Kelvin K.L. Wong, Senior Lecturer (kelvin.wong@adelaide.edu.au)
School of Electrical and Electronic Engineering, 
University of Adelaide, Australia

Shiqian Wu, Professor (shiqian.wu@wust.edu.cn)
School of Information Science and Engineering, 
Wuhan University of Science and Technology, China 

Enterprise Information Systems

Enterprise Information Systems (EIS) is a world-leading journal focusing on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment.

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