Three-dimensional image reconstruction procedure for food microstructure evaluation

被引:13
作者
Ding, K [1 ]
Gunasekaran, S
机构
[1] Universal Instruments Corp, Binghamton, NY 13904 USA
[2] Univ Wisconsin, Madison, WI 53706 USA
关键词
confocal laser scanning microscopy (CLSM); food microstructure; image processing; computer vision; cheese; fat globules;
D O I
10.1023/A:1006540408295
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Confocal laser scanning microscopy (CLSM) is a noninvasive technique for evaluating 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 st 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.
引用
收藏
页码:245 / 262
页数:18
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