Abstract
The multidisciplinary subject of imaging science, which concerns the generation, collection, duplication, analysis, modification, restoration, enhancement, comparison, feature extraction, and visualization of images, is developing at a rapid speed. It is increasingly used in more and more application areas, especially in cutting-edge technologies. Mathematical imaging firmly establishes mathematics as a rigorous basis for imaging science, complementing image processing methodologies, in the discrete setting, of computer science and information science.
The Centre for Mathematical Imaging Techniques based at the Department of Mathematical Sciences of the University of Liverpool had the pleasure of hosting the Third International Workshop on Image Processing Techniques and Applications, incorporating Mathematical Imaging with Biomedical Applications during 6–8 July 2015. This followed two workshops previously held at the centre, in 1997 and 2001.
The organization committee comprised:
Ke Chen (Chair, Centre for Mathematical Imaging Techniques, University of Liverpool); Harish Poptani (Centre for Preclinical Imaging, University of Liverpool); Violaine See (Centre of Cell Imaging, University of Liverpool); Ian Prior (Cellular and Molecular Imaging, University of Liverpool); Yalin Zheng (Department of Eye and Vision Science, University of Liverpool).
In this meeting, attended by 50 participants, 16 international speakers gave invited presentations; see https://www.liverpool.ac.uk/cmit/workshop_15/.
The selected and refereed papers were submitted by speakers and participants of this workshop. They cover new mathematical imaging models and algorithms. We thank the anonymous reviewers for prompt reviews and the publisher for publishing the papers quickly (with revisions competed in March and publications allocated in April).
We hope that you find the papers interesting to read, and look forward to future workshops in the series.