A multiscale approach to the representation of 3D images, with application to polymer solar cells

Image Analysis and Stereology

Volumn 30, Issue 1, 2011, Pages 19-30

  Thiedmann, Ralf ^a   Hassfeld, Henrik ^a   Stenzel, Ole ^a   Koster, L Jan Anton ^b   Oosterhout, Stefan D ^b   Van Bavel, Svetlana S ^b   Wienk, Martijn M ^b   Loos, Joachim ^b   Janssen, Rene A J ^b   Schmidt, Volker ^a  

^a UNIVERSITY OF ULM   (Germany)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Adaptive thresholding; Discrete skeleton; Morphological smoothing; Multiscale approach; Representation by overlapping spheres

Indexed keywords

EID: 79957550387     PISSN: 15803139     EISSN: 18545165     Source Type: Journal    
DOI: 10.5566/ias.v30.p19-30     Document Type: Article

References (28)

1. Angulo J, Jeulin D (2007). Stochastic watershed segmentation. In: Banon GJF, Barrera J, Braga-Neto UM, Hirata NST, eds. Proc 8th Int Symp Math Morphology (ISMM'2007), Rio de Janeiro, Brazil. 265-76.
2. van Bavel SS, Sourty E, de With G, Loos J (2009). Three-dimensional nanoscale organization of bulk heterojunction polymer solar cells. Nano Letters 9:507- 13.
3. Blayvas I, Bruckstein A, Kimmel R (2006). Efficient computation of adaptive threshold surfaces for image binarization. Pattern Recogn 39:89-101.
4. Brabec C, Scherf U, Dyakonov V, eds. (2008). Organic Photovoltaics: Materials, Device Physics, and Manufacturing Technologies. Weinheim: Wiley-VCH.
5. Cativa Tolosa S, Blacher S, Denis A, Marajofsky A, Pirard JP, Gommes CJ (2009). Two methods of random seed generation to avoid over-segmentation with stochastic watershed: application to nuclear micrographs. J Microsc 236:79-86.
6. Faessel M, Jeulin D (2010) Segmentation of 3D microtomographic images of granular materials with the stochastic watershed. J Microsc 239:17-31.
7. Hoshen J, Kopelman R (1976). Percolation and cluster distribution. I. Cluster multiple labeling technique and critical concentration algorithm. Phys Rev B 14:3438- 45.
8. Illian J, Penttinen A, Stoyan H, Stoyan D (2008). Statistical Analysis and Modeling of Spatial Point Patterns. Chichester: J Wiley & Sons.
9. Jähne B (2005). Digital Image Processing. 6th ed. Berlin: Springer.
10. Kendall WS, Molchanov I, eds. (2010). New Perspectives in Stochastic Geometry. Berlin: Springer.
11. Lantúčċéjoul C (1978). La Squelettisation et son Application aux Mesures Topologiques des Mosaïques Polycristallines. PhD thesis, Ecole des Mines de Paris.
12. Møller J, Waagepetersen RP (2004). Statistical Inference and Simulation for Spatial Point Processes. Boca Raton: Chapman & Hall / CRC.
13. Noyel G, Angulo J, Jeulin D (2007). Random germs and stochastic watershed for unsupervised multispectral image segmentation. In: Apolloni B, Howlett RJ, Jain L, eds. Knowledge-Based Intelligent Information and Engineering Systems. Lect Notes Comput Sci 4694:17- 24. Berlin: Springer.
14. Ohser J, Schladitz K (2009). 3D Images of Materials Structures - Processing and Analysis. Weinheim: Wiley-VCH.
15. Oosterhout SD, Wienk MM, van Bavel SS, Thiedmann R, Koster LJA, Gilot J, Loos J, Schmidt V, Janssen RAJ (2009). The effect of three-dimensional morphology on the efficiency of hybrid polymer solar cells. Nat Mater 8:818-24.
16. Ridler TW, Calvard S (1978). Picture thresholding using an iterative selection method. IEEE Trans Syst Man Cyb 8:630-2.
17. Saito T, Toriwaki JI (1994). New algorithms for euclidean distance transformantion of an n-dimensional digitized picture with applications. Pattern Recogn 27:1551-65.
18. Serra J (1982). Image Analysis and Mathematical Morphology. London: Academic Press.
19. Serra J (1988). Image Analysis and Mathematical Morphology, Vol 2: Theoretical Advances. London: Academic Press.
20. Shaw PE, Ruseckas A, Samuel IDW (2008). Exciton diffusion measurements in poly(3-hexylthiophene). Adv Mater 20:3516-20.
21. Soille P (2003). Morphological Image Analysis: Principles and Applications. Berlin: Springer.
22. Stenzel O, Hassfeld H, Thiedmann R, Koster LJA, Oosterhout SD, van Bavel S, Wienk MM, Loos J, Janssen RAJ, Schmidt V (2011). Spatial modeling of the 3D morphology of hybrid polymer-ZnO solar cells, based on electron tomography data. Ann Appl Stat (to appear).
23. Stoyan D, Kendall WS, Mecke J (1995). Stochastic Geometry and its Applications. 2nd ed. Chichester: J Wiley & Sons.
24. Th́evenaz P, Blu T, Unser M (2000). Interpolation revisited. IEEE Trans Med Imaging 19:739-58.
25. Thiedmann R, Stenzel O, Spettl A, Shearing PR, Harris SJ, Brandon NP, Schmidt V (2010). Stochastic simulation model for the 3D morphology of composite materials in Li-ion batteries. Research Report, Ulm University.
26. Unser M (1999). Splines. A perfect fit for signal and image processing. IEEE Signal Process Mag 16:22-38.
27. Yang X and Loos J (2007). Toward high-performance polymer solar cells: The importance of morphology control. Macromolecules 40:1353-62.
28. Yanowitz SD, Bruckstein AM (1989). A new method for image segmentation. Comput Vision Graph 46:82-95. 30