Determination of senescent spotting in banana (Musa cavendish) using fractal texture Fourier image

Journal of Food Engineering

Volumn 84, Issue 4, 2008, Pages 509-515

  Quevedo, R ^a   Mendoza, F ^b   Aguilera, J M ^b   Chanona, J ^c   Gutierrez Lopez G ^c  

^a UNIVERSIDAD DE LOS LAGOS   (Chile)

^b PONTIFICIA UNIVERSIDAD CATÓLICA DE CHILE   (Chile)

^c INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

Bananas; Computer vision systems; Fractal texture; Senescent spotting

Indexed keywords

COMPUTER VISION; FOOD STORAGE; FOURIER ANALYSIS; SURFACE ANALYSIS; TEXTURES;

FRACTAL TEXTURE; RIPENING; SENESCENCE PROCESS; SENESCENT SPOTTING;

FRUITS;

MUSA;

EID: 34548539848     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2007.06.013     Document Type: Article

References (35)

1. Basset O., Buquet B., Abouelkaram S., Delachartre P., and Culioli J. Application of texture image analysis for the classification of bovine meat. Food Chemistry 69 (2000) 437-445
2. Bharati M.H., Liu J.J., and MacGregor J.F. Image texture analysis: methods and comparisons. Chemometrics and Intelligent Laboratory Systems 72 (2004) 57-71
3. Briones V., and Aguilera J.M. Image analysis of changes in surface colour of chocolate. Food Research International 38 (2005) 87-94
4. Cernadas E., Carrion P., Rodriguez P.G., Muriel E., and Antequera T. Analysing magnetic resonance images of Iberian pork loin to predict its sensorial characteristics. Computer Vision and Image Understanding 98 (2005) 345-361
5. Chan K. Quantitative characterization of electron micrograph images using fractal features. IEEE Transactions on Biomedical Engineering 42 (1995) 1033-1037
6. Chen R., Chao K., and Kim S. Machine vision technology for agriculture applications. Computer Electronic in Agriculture 36 (2002) 173-191
7. Choehoma R., Ketsa S., and Van Doorn W. Senescent spotting of banana peel is inhibited by modified atmosphere packaging. Post-harvest Biology and Technology 31 (2004) 167-175
8. Dadzie K., and Orchard J.E. Routine post-harvest screening of banana/plantain hybrids: Criteria and methods. INIBAP technical guidelines Vol. 2 (1997), International Plant Genetic Resources Institute, Rome pp. 5-30
9. Drury R., Hortensteiner S., Donnison I., Bird C.R., and Seymour G.B. Chlorophyll catabolism and gene expression in the peel of ripening banana fruits. Physiologia Plantarum 107 (1999) 32-38
10. Gao X., and Tan J. Analysis of expended-food texture by image processing part II: Mechanical properties. Journal of Food Processing Engineering 19 (1996) 445-456
11. Gao X., Tan J., Shatadal P., and Heymann H. Evaluating expanded-food sensory properties by image analysis. Journal of Texture Studies 30 (1999) 291-304
12. Huang Y., Lacey E., Moore L., Miller K., Whittaker D., and Ophir J. Wavelet textural features from ultrasonic elastograms for meat quality prediction. Transactions of the ASAE 40 (1997) 1741-1748
13. Li M., Slaughter C., and Thompson E. Optical chlorophyll sensing system for banana ripening. Postharvest Biology Technology 12 (1997) 273-283
14. Li J., Tan J., Martz A., and Heymann H. Image texture features as indicators of beef tenderness. Meat Science 53 (1999) 17-22
15. Li J., Tan J., and Shatadal P. Classification of tough and tender beef by image texture analysis. Meat Science 57 (2001) 341-346
16. Liao K., Cavalieri P., and Pitts J. Hausdorff dimensional analysis and digital imaging based quality inspection. Transactions in Agriculture 33 (1990) 298-304
17. Majumdar S., and Jayas D.S. Classification of cereal grains using machine vision: III. Texture models. Transactions of the ASAE 43 (2000) 1681-1687
18. Mandelbrot B.B. Fractal geometry of nature (1983), W H. Freeman Freeman & Co., New York
19. Mendoza F., and Aguilera J.M. Application of image analysis for classification of ripening bananas. Journal of Food Science 69 (2004) E471-E477
20. Mery D., and Pedreschi F. Segmentation of colour food images using a robust algorithm. Journal of Food Engineering 66 (2005) 353-360
21. Papadakis S., Abdul-Malek S., Kamdem E., and Jam L. A versatile and inexpensive technique for measuring color of foods. Food Technology 54 (2000) 48-51
22. Park B., Lawrence K.C., Windham W.R., Chen Y.R., and Chao K. Discriminant analysis of dual-wavelength spectral images for classifying poultry carcasses. Computers and Electronics in Agriculture 33 (2002) 219-231
23. Paulus I., and Schrevens E. Shape characterization of new apple cultivars by Fourier expansion of digitised images. Journal of Agricultural Engineering Research 72 (1999) 113-118
24. Quevedo R., Carlos L.G., Aguilera J.M., and Cadoche L. Description of food surfaces and micro structural changes using fractal image texture analysis. Journal of Food Engineering 53 (2002) 361-371
25. Russ J. Fractal surfaces. 1st ed. (1994), Plenum Press, New York and London, Rayleigh, North Carolina
26. Russ J. The image processing handbook. 3rd ed. (1999), Springer, Berlin
27. Shahin A., and Symons S. A machine vision system for grading lentils. Canadian Biosystem Engineering 43 (2001) 7-14
28. Shiranita K., Miyajima T., and Takiyama R. Determination of meat quality by texture analysis. Pattern Recognition Letters 19 (1998) 1319-1324
29. Thybo A., Szczypin' ski P., Karlsson A., Dønstrup S., Stødkilde-Jørgensen H., and Andersen J. Prediction of sensory texture quality attributes of cooked potatoes by NMR imaging (MRI) of raw potatoes in combination with different image analysis methods. Journal of Food Engineering 61 (2004) 91-100
30. Trakulnaleumsai C., Ketsa S., and Van Doorn W. Temperature effects on peel spotting in 'Sucrier' banana fruit. Postharvest Biology and Technology 39 (2006) 285-290
31. Von Loesecke H.W. Bananas: Chemistry, physiology (1950), Technology Inter Science, New York
32. Wainwright H., and Hughes P. Changes in banana pulp color during ripening. Fruits 45 (1990) 25-28
33. Wen-Shiung C., Shang-Yuan Y., and Chih-Ming H. Two algorithms to estimate fractal dimension of gray-level images. Optical Engineering 42 (2003) 2452-2464
34. Zhang, H., Wilson, D. & Rouse, G. (1994). Frequency and intensity texture analysis for beef quality evaluation and prediction from ultrasound images. In: Proceedings of the 16th annual international conference of the IEEE. Baltimore, MD, USA:IEEE.
35. Zheng C.X., Sun D.W., and Zheng L.Y. Recent applications of image texture for evaluation of food qualities - A review. Trends in Food Science & Technology 17 (2006) 113-128