Manuscript Due

Aug. 1, 2019 (closed)


The advancement of new technologies (smartphones/tablets/Internet) made digital images and videos the primary source of visual information in nowadays society and attracted much research attention. Classical image processing techniques are limited abilities in handling noise and distortions. To address this research issue, computational intelligence (CI) paradigms (tools/systems/solutions/algorithms) have shown to be capable for extracting complex statistical features, learning image representations, allowing it to generalize a wide variety of image processing, including image classification, pattern recognition and so on. An innovative fusion of CI paradigms in image processing is very likely to have a key benefit to the medical field, which will enrich to a better understanding of complex images. Hence, the main objective of this special issue has focused on ubiquitous medical imaging systems including local medical image storage, real time image data processing via embedded CI paradigms. In this special issue we seek the submissions to provide state of the art of CI paradigms for real time ubiquitous smarter healthcare medical imaging systems. The integration of ubiquitous systems and CI paradigms devotes for an e-health applications to enable optimization of real time medical image assessment for accurate, authentic, and more productive efficient environment.

Lead Guest Editor

  • Dr. Arun Kumar Sangaiah, Vellore Institute of Technology (VIT), Vellore, India

Guest Editors

  • Dr. Patrick Siarry, Université Paris-Est Créteil, France
  • Dr. Xiaohui Yuan, University of North Texas, USA
  • Dr. Wanqing Wu, Shenzhen Institutes of Advanced Technology (SIAT), Shenzhen, China
EURASIP Journal on Image and Video Processing