Technical Note: Confocal Scanning Laser Microscopy and Quantitative Image Analysis: Application to Cream Cheese Microstructure Investigation

References 

1. AOAC. Official Methods of Analysis. 18th ed.. Gaithersburg, MD: AOAC International; 2006;
2. Bres S, Jolion JM, Lebourgeois F. Traitement et analyse des images numériques. Paris, France: Hermes Science Publications; 2003;
3. Galloway MTexture analysis using grey level run lengths. Comp. Graph. Image Proc. 1975;4:171–179
4. Gao X, Tan J. Analysis of expanded-food texture by image processing. Part I: Geometric properties. J. Food Process Eng. 1996;19:425–444
5. Haralick RM. Statistical and structural approaches to texture. Proc. IEEE. 1979;67:786–804
6. Haralick RM, Shanmugam K, Dinstein I. Textural features for image classification. IEEE Trans. Syst. Man Cybern. 1973;6:610–621
7. Herbert, S. 1998. Molecular and microscopic structural characterisation of soft cheeses Multivariate analysis of structural data in relation to texture. PhD Thesis. University of Nantes, France.
8. Herbert S, Bouchet B, Riaublanc A, Dufour E, Gallant DJ. Multiple fluorescence labelling of proteins, lipids and whey in dairy products using confocal microscopy. Lait. 1999;79:567–575
   • CrossRef
9. Li J, Tan J, Martz FA, Heymann H. Image texture features as indicators of beef tenderness. Meat Sci. 1999;53:17–22
10. Llamas, G., B. Metro, S. Atlan, and A. Riaublanc. 2003. Influence of fat interface on structures obtained by rennet coagulation of emulsions. 3rd NIZO Dairy conference (poster session). Papendal, the Netherlands.
11. Majumdar S, Jayas DS. Classification of cereal grains using machine vision III. Texture models. Trans. ASAE. 2000;43:1681–1687
12. Michelland S, Schiborr B, Coster M, Mordike BL, Chermant JL. Size distribution of granular material from unthresholded images. J. Microsc. 1989;156:303–311
    • CrossRef
13. Novales B, Guillaume S, Devaux MF, Chaurand M. Particle size characterisation of in-flow milling products by video image analysis using global features. J. Sci. Food Agric. 1998;78:187–195
14. Serra J. Image analysis and mathematical morphology. London, UK: Academic Press; 1982;
15. Thybo AK, Szczypinski PM, Karlsson AH, Dønstrup S, Stødkilde-Jørgensen HS, Andersen HJ. Prediction of sensory texture quality attributes of cooked potatoes by NMR-imaging (MRI) of raw potatoes in combination with different image analysis methods. J. Food Eng. 2004;61:91–100
16. Zheng C, Sun DW, Zheng L. Recent applications of image texture for evaluation of food qualities—A review. Trends Food Sci. Technol. 2006;17:113–128