By Włodzimierz Kasprzak, Łukasz Czajka, Artur Wilkowski (auth.), Leonard Bolc, Ryszard Tadeusiewicz, Leszek J. Chmielewski, Konrad Wojciechowski (eds.)
This booklet is an element II of a two-volume paintings that comprises the refereed lawsuits of the overseas convention on machine imaginative and prescient and pix, ICCVG 2010, held in Warsaw, Poland, in September 2010. The ninety five revised complete papers provided have been conscientiously reviewed and chosen from a number of submissions. The papers are geared up in 3 topical sections: advances in development acceptance, desktop imaginative and prescient and photograph knowing; human movement research and synthesis; and computing device imaginative and prescient and pix.
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Extra info for Computer Vision and Graphics: International Conference, ICCVG 2010, Warsaw, Poland, September 20-22, 2010, Proceedings, Part II
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Pearson Addison Wesley, London (2004) 18. : Semantic integration and querying of heterogeneous data sources using a hypergraph data model. , Poulovassilis, A. ) BNCOD 2002. LNCS, vol. 2405, pp. 166–182. pl Abstract. In this article new approach to the MRI brain segmentation is presented. It is based on the Cellular Automaton (CA). The method is truly interactive, and produces very good results comparable to those achieved by Random Walker or Graph Cut algorithms. It can be used for CT and MRI images, and is accurate for various types of tissues.
A Proper Choice of Vertices for Triangulation Representation 47 Fig. 5. The image Fruits: Only random and only edge points Fig. 6. 65 5 Conclusion We showed that a random choice of representative points in the digital image to be used as vertices of a triangulation, in spite of simplicity of this approach, may be a viable alternative to edge points as only intensities in these points have to be stored, while their coordinates can be re-generated in decoding from a seed of a random generator. References 1.
In Sect. 3 we present preliminary results of segmentation obtained for sample WCE images taken from several different examinations. We compare these results with segmentation performed manually by two independent experts in WCE-based diagnosis. High level of correspondence between both types of segmentation techniques (manual and the automatic one) makes us believe that the proposed method can be successfully introduced to the clinical practice. Conclusions and possible improvements are outlined in Sect.