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Techniques devoted to generate a triangular mesh from images either take as starting point a segmented image or generate a mesh without distinguishing different structures contained in the image. The pre-segmentation and the absence of well defined structures may impose difficulties in using the resulting mesh in some applications, as for example numerical simulations. In this work we present a new technique for mesh generation that aims at eliminating the need for pre-processing by building the segmentation into the mesh generation process. Furthermore, the proposed technique generates theoretically guaranteed quality meshes, rendering our framework very appropriated for applications in numerical simulation as well as in image modeling. In fact, the effectiveness of our approach in both applications are presented and discussed.

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