Abstract
Microscopy is often employed in food research to inspect the microstructural features of food samples. Accurate detection of microscopic features is required for reliable quantitative analysis. We propose a user-assisted approach that can be easily integrated into a graphical interface. The proposed algorithm is based on a fast approximation of the common region-based level set equation, providing interactive computations. Experiments have been run on cheese micrographs acquired with electron and confocal microscopes.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aguilera, J.M., Stanley, D.W.: Microstructural principles of food processing and engineering, 2nd edn. Aspen (1999)
Russ, J.C.: Image Analysis of Food Microstructure. CRC Press, Boca Raton (2004)
Impoco, G., Carrato, S., Caccamo, M., Tuminello, L.: Quantitative analysis of cheese microstructure using SEM imagery. In: SIMAI 2006, Minisymposium: Image Analysis Methods for Industrial Application (May 2006)
Nattkemper, T.W.: Automatic segmentation of digital micrographs: a survey. Studies in health technology and informatics 107(2), 847–851 (2004)
Fahmi, R., Farag, A.A.: A fast level set algorithm for shape-based segmentation with multiple selective priors. In: 15th IEEE International Conference on Image Processing (ICIP 2008), October 2008, pp. 1073–1076 (2008)
Osher, S., Fedkiw, R.P.: Level Set Methods and Dynamic Implicit Surfaces. Springer, Heidelberg (2002)
Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. International Journal of Computer Vision 1(4), 321–331 (1988)
Caselles, V., Kimmel, R., Sapiro, G.: Geodesic active contours. International Journal on Computer Vision 22, 61–79 (1997)
Chan, T., Vese, L.A.: An active contour model without edges. In: Nielsen, M., Johansen, P., Fogh Olsen, O., Weickert, J. (eds.) Scale-Space 1999. LNCS, vol. 1682, pp. 141–151. Springer, Heidelberg (1999)
Lankton, S., Tannenbaum, A.: Localizing region-based active contours. IEEE Transactions on Image Processing 17(11), 2029–2039 (2008)
Chaudhuri, B.B., Samanta, G.P.: Elliptic fit of objects in two and three dimensions by moment of inertia optimization. Pattern Recognition Letters 12(1), 1–7 (1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Impoco, G., Licitra, G. (2009). An Interactive Level Set Approach to Semi-automatic Detection of Features in Food Micrographs. In: Jiang, X., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2009. Lecture Notes in Computer Science, vol 5702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03767-2_111
Download citation
DOI: https://doi.org/10.1007/978-3-642-03767-2_111
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03766-5
Online ISBN: 978-3-642-03767-2
eBook Packages: Computer ScienceComputer Science (R0)