Abstract
Confocal laser scanning microscopy (CLSM) is a noninvasive technique for evaluat ing the microstructure of foods and other materials. CLSM provides several sequential subsurface layers of two-dimensional (2-D) images. An image processing algorithm was developed to reconstruct these 2-D layers into a three-dimensional (3-D) network. Microstructure of fat globules in cheese was used as an example application. The validity of the image reconstruction algorithm was evaluated by processing several layered digital images of known shape and size. Differences between the original and reconstructed images were 2-5% in terms of object size and 1–8% in terms of shape.
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Ding, K., Gunasekaran, S. (1998). Three-Dimensional Image Reconstruction Procedure for Food Microstructure Evaluation. In: Panigrahi, S., Ting, K.C. (eds) Artificial Intelligence for Biology and Agriculture. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5048-4_13
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DOI: https://doi.org/10.1007/978-94-011-5048-4_13
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