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Automated analysis of wood anatomical sections is of great interest in understanding the growth and development of plants. In this paper, we propose a novel method to characterize the cell organization in light microscopic wood section images. It aims to identify automatically the cell file in a context of mass treatment. The originality of the proposed(More)
  • M. Jaeger
  • 2012
Computer generated scenes are getting popular in the scientific communities concerned by plant, crop and forest structural and functional modeling. We show that realistic images can be produced from scientific visualizations at low costs, with post-processing functions applied to output images with or without their associated depth maps. We illustrate the(More)
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