http://orcid.org/0000-0001-7603-6526
Computational methodologies for signal processing and analyses are commonly used nowadays for a wide range of applications. Fully or semi-automatic Computational Vision systems are used more and more in surveillance tasks, traffic analyses, recognition processes, inspection purposes, human–machine interfaces, as well as 3D vision and deformation analyses.
One of the most notable aspects of the Computational Vision domain is its inter- and multi-disciplinary nature. Computational methodologies that are commonly used in the traditional sciences, such as Informatics, Mathematics, Statistics, Psychology, Mechanics and Physics, are often integrated in the new solutions developed in the Computational Vision domain. One of the main driving forces behind the continued advancement in this field of Computational Vision can be found in medicine. For instance, computational algorithms are applied to medical images for shape reconstruction, motion and deformation analysis, tissue characterisation and computer-assisted diagnosis, among others.
This special issue of the journal Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (CMBBE: Imaging & Visualization) contains the extended versions of seven papers presented at the V ECCOMAS Thematic Conference in Computational Vision and Medical Image Processing (VipIMAGE 2015).
The main objective of the ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing conferences, which were initiated in 2007, is to promote a comprehensive forum for discussion on the recent advances in related fields in order to identify potential opportunities for collaboration between researchers from different fields.
In 2015, VipIMAGE gathered together a wide range of researchers in Tenerife, Canary Islands, Spain. There were researchers representing fields such as Biomechanics, Biomedical Engineering, Computational Vision, Computer Graphics, Computer Science, Computational Mechanics, Electrical Engineering, Mathematics, Statistics, Medical Imaging, Medicine and Rehabilitation, among others.
These papers from the VipIMAGE 2015 conference were reviewed according to the CMBBE: Imaging & Visualization policy. They present and discuss new trends in their fields using novel methods and techniques for a great variety of different applications as shown here: Binaghi et al. presented a study on the segmentation of meningioma and peritumoral oedema from multispectral brain MR imagery; Jiménez-Pérez and co-workers discussed the possibilities of mobile and wearable devices in a fracture reduction process; de Moraes and collaborators suggested a novel isosurface rendering method for medical images improved by automatic texture mapping; Mihailescu and co-workers proposed a solution to examine whether cervical cells qualify as normal or abnormal on the basis of phase profiles and then they went on to describe their 3D holographic images; De Paolis and Ricciardi described an application of augmented reality that can support more accurate preoperative surgical planning and also image-guided procedures; Veiga et al. presented a solution based on Laws texture features to detect microaneurysms; and finally Paulano-Godino and collaborators discussed the applicability of some mesh generation methods to model bone fragments, including Marching Cubes, Ball-pivoting, Poisson reconstruction and Algebraic Point Set Surface.
The Guest-Editors wish to thank all the VipIMAGE 2015 authors and members of the Program Committee for sharing their expertise, the International European Community on Computational Methods in Applied Sciences (ECCOMAS), the Portuguese Association of Theoretical, Applied and Computational Mechanics (APTMAC), the ‘Universidade do Porto’ (U.Porto) and the ‘Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial’ (INEGI) for supporting VipIMAGE, and finally to the Editors and Reviewers of CMBBE: Imaging & Visualization for helping to improve the manuscripts accepted.
João Manuel R. S. Tavares
Universidade do Porto, Portugal
[email protected] http://orcid.org/0000-0001-7603-6526
Renato Natal Jorge
Universidade do Porto, Portugal
http://orcid.org/0000-0002-7281-579X