https://orcid.org/0000-0001-7603-6526
Computational methodologies of signal processing and analyses are generally used in our society. Fully- or semi-automated methodologies of Computational Vision are used in surveillance, recognition, inspection, human-machine interfaces, motion and deformation tracking and analysis and aided medical diagnosis and treatment planning and follow-up, just to name a few.
One of the interesting aspects of the Computational Vision domain is its inter- and multi-disciplinarily. Actually, principles and methodologies of other sciences, such as of Informatics, Mathematics, Statistics, Psychology, Mechanics, Medicine and Physics, are regularly combined in this domain. One of the main motives that contributes to the continual effort done in this domain of the human knowledge is the high number of applications that can be found in Medicine. Hence, computational algorithms can be applied to medical images, for example, to enhance their visualisation, to identify and classify structures, for tissue characterisation or computer-assisted intervention and therapy.
This issue (5th) of the 10th volume of the journal Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualisation (CMBBE: Imaging & Visualisation) contains the extended and revised versions of 8 articles presented at the VII ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (VipIMAGE 2019), which was held in Porto, Portugal, in 16–18 October 2019.
VipIMAGE 2019 had 6 invited lectures and 71 contributed presentations originated from 16 countries: Belgium, Brazil, Colombia, the Czech Republic, France, Germany, Indonesia, Italy, Poland, Portugal, Spain, the United Kingdom, the United States of America, Tunisia, Turkey and Vietnam.
The main objective of these ECCOMAS Thematic Conferences on Computational Vision and Medical Image Processing, initiated in 2007, is to promote a comprehensive forum for discussion on the recent advances in the related fields in order to identify potential collaboration between researchers of different sciences. Accordingly, VipIMAGE 2019 brought together researchers representing fields related to Biomechanics, Biomedical Engineering, Computational Vision, Computer Graphics, Computer Sciences, Computational Mechanics, Electrical Engineering, Mathematics, Statistics, Medical Imaging, Medicine, Sports and Rehabilitation.
The included extended works were reviewed according to the CMBBE: Imaging & Visualisation policy. They present and discuss new developments in those fields using novel methods and techniques, including colour space transformation, binarisation, morphology, diffusion filtering, point triangulation, 3D mesh generation, template deformation and registration. The aforesaid methods and techniques were proposed to address different applications, mainly as to colour evaluation, noise removal, image restoring, tissue segmentation, tracking and characterisation, biomechanical modelling and simulation, bone fracture analysis, 3D geometric model reconstruction, virtual reality, computer-assisted medical diagnosis, treatment planning and follow-up, 3D printing and manufacturing.
The Guest-Editors would like to acknowledge all the VipIMAGE 2019 invited lecturers, 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 the organisation, the authors of the articles included in this special issue, and also to the CMBBE: Imaging & Visualisation Editors and Reviewers for helping improving their quality.