Walbron , Amaury (2012) Segmentation d’images 3D par la méthode du Split and Merge. PFE - Project Graduation, ENSTA.



This report speaks about the creation of a 3D-picture segmentation algorithm. This algorithm must be able to segment 3D-pictures of mice brains, with the intention of a biological study about a possible correlation between mice trisomy and cerebellum volume, without need to dissect these one. With MRI pictures, it’s possible to calculate this volume with an segmentation algorithm. So this report speaks about the realization of the 2D-algorithm (3D-algorithm creation is obvious when we have the 2D-algorithm) with OCaml language. The choice of this language and algorithm realization method is then the subject of a part of thought and amelioration about results quality.

Item Type:Thesis (PFE - Project Graduation)
Uncontrolled Keywords:Segmentation / Image processing/ Algorithmic / Split and Merge / OCaml / MATLAB / C++ / MPI / Cerebellum / MRI
Subjects:Mathematics and Applications
ID Code:6460
Deposited By:Sophie Chouaf
Deposited On:03 déc. 2013 17:19
Dernière modification:03 déc. 2013 17:19

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