By João Manuel R.S. Tavares, R.M. Natal Jorge
The current publication comprises prolonged models of papers provided within the overseas convention VIPIMAGE 2007 – ECCOMAS Thematic convention on Computational imaginative and prescient and scientific photo, held in Faculdade de Engenharia da Universidade do Porto, in 17-19 of October 2007. This convention used to be the 1st ECCOMAS thematic convention on computational imaginative and prescient and clinical picture processing. It covers subject matters comparable with snapshot processing and research, clinical imaging and computational modeling and simulation, contemplating their multidisciplinary. This booklet collects the cutting-edge learn, tools and new principles near to computational imaginative and prescient and clinical snapshot processing contributing for the improvement of those components of information.
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Additional info for Advances in Computational Vision and Medical Image Processing: Methods and Applications (Computational Methods in Applied Sciences)
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111]. We have adopted two recent techniques for our purpose of reconstruction – TightCocone and RobustCocone. TightCocone algorithm by Dey and Goswami  reconstructs a watertight triangulated surface from possibly undersampled input point cloud. A variant of this algorithm, called RobustCocone, was also developed in 2004. This algorithm is particularly suitable for noisy data. In our case, we often encounter noise in the segmented image even after applying image segmentation techniques, and to tackle such cases, we use RobustCocone for a reconstruction of the geometry.