Abstract
Results aggregation by disjoint graph merging is potentially a good alternative to image stitching. During the processing of image mosaics, it allows to be free of radiometric and geometric corrections inherent in image fusion. We have studied and developed a generic merging method of disjoint graphs for tracking cell alignments in image mosaics of wood.
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Lézoray, O., Grady, L.: Image processing and Analysis With Graphs. CRC Press (2012)
Cousty, J., Bertrand, G., Couprie, M., Najman, L.: Fusion graphs: merging properties and watersheds. Journal of Mathematical Imaging and Vision 30, 87–104 (2008)
Baldevbhai, P.J., Anand, R.S.: Review of graph, medical and color Image base Segmentation Techniques. Journal of Electronical and Electronics Engineering 1, 1–19 (2012)
Peng, B., Zhang, L., Zhang, D., Yang, J.: Image segmentation by iterated region merging with localized graph cuts. Pattern Recognition 44, 10–11 (2013)
Brown, M., Lowe, D.G.: Automatic Panoramic Image Stitching using Invariant Features. International Journal of Computer Vision 74, 59–73 (2007)
Lowe, D.G.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60, 91–110 (2004)
Clenti, C.: Architectures flot de données dédiées au traitement d’images par Morphologie Mathématique, Thèse de doctorat en morphologie mathématique. In: ENSMP,vol. (431) (2009)
Sun, C., Beare, R., Hilsenstein, V., Jackway, P.: mosaicing of microscope images with global geometric and radiometric corrections. Journal of microscopy 224, 158–165 (2006)
Vercauteren, T., Perchant, A., Malandain, G., Pennec, X., Ayache, N.: Robust mosaicing with correction of motions distorsions and tissue deformations for In Vivo Fibered Microscopy. Medical Image Analysis 10, 673–692 (2006)
Thévenaz, P., Unser, M.: User-friendly Semiautomated Assembly of Accurate Image Mosaics in Microscopy. Microscopy Research And Technique 70, 135–146 (2007)
Liang, C., Filion, L., Cournoyer, L.: Wood structure of biotically and climatically induced light rings in eastern larch (Larix laricina). Canadian Journal of Forest Research 27, 1538–1547 (1997)
Wilson, B.F.: The Growing Tree. The University of Massachusetts Press, Amherst (1970)
Gindl, W.: Cell-wall lignin content related to tracheid dimensions in drought-sensitive austrian pine (pinus nigra). Iawa Journal 22, 113–120 (2001)
Brunel, G., Borianne, P., Subsol, G., Jaeger, M., Caraglio, Y.: Automatic characterization of the cell organization in light microscopic images of wood: application to the identification of the cell files. In: Plant Growth Modeling, Simulation, Visualization and Applications, vol. 4, pp. 58–65. IEEE Press (2012) ISBN 978-1-4673-0070-4
Kennel, P., Subsol, G., Guéroult, M., Borianne, P.: Automatic identification of cell files in light microscopic images of conifer wood. In: 2nd International Conference on Image Processing Theory Tools and Applications, pp. 98–103 (2010)
Sjodahl, M., Oreb, B.: Stitching interferometric measurement data for inspection of large optical components. Optical Engineering 41, 403–408 (2002)
Wyant, J.C., Schmit, J.: Large field of view, high spatial resolution, surface measurements. In: International Conference on Metrology and Properties of Engineering Surfaces, vol. 38, pp. 691–698 (1998)
Vincent, L., Soille, P.: Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations. IEE Transactions on Pattern Analysis and Machine Intelligence 13, 583–598 (1991)
Tremeau, A., Colantoni, P.: Regions adjacency graph applied to color image segmentation. IEEE Transactions on Image Processing 9, 735–744 (2000)
Beucher, S.: Watershed, Hierarchical Segmentation and Waterfall Algorithm. In: Proc. Mathematical Morphology and its Applications to Image Processing, pp. 69–76 (1994)
Ladjal, S.: Blur estimation in Natural Images. In: 15e congrès francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle, pp. 112–124 (2006)
Brunel, G., Borianne, P., Subsol, G., Jaeger, M., Caraglio, Y.: Results reliability of the automated identification of cell files in microscopic images of gymnosperms. In: 7th International Conference on Fuctional-Structural Plant Models (2013) (in submission)
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Brunel, G., Borianne, P., Subsol, G., Jaeger, M. (2013). Simple-Graphs Fusion in Image Mosaic: Application to Automated Cell Files Identification in Wood Slices. In: Kämäräinen, JK., Koskela, M. (eds) Image Analysis. SCIA 2013. Lecture Notes in Computer Science, vol 7944. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38886-6_4
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DOI: https://doi.org/10.1007/978-3-642-38886-6_4
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