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. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Impoco, G., & Licitra, G. (2009). An interactive level set approach to Semi-automatic detection of features in food micrographs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5702 LNCS, pp. 914–921). https://doi.org/10.1007/978-3-642-03767-2_111
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