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Tytuł artykułu

Analysis of pores in pig meat images

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper we present an image processing application for quantification of pores in pig meat images. The aim is to study the relationship between the number and size distribution of pores and process condition and genotype. We used digital camera photographs of slices of tumbled and non-tumbled processed pork loins of different RN genotype. We describe a method to extract and count the number and size of pores. We propose a new approach, based on fractal theory, to quantify the size distribution of pores. Our results show that image analysis in conjunction with fractal models can be useful in this field.
Rocznik
Strony
137--148
Opis fizyczny
Bibliogr. 22 poz., il., wykr.
Twórcy
autor
  • Centre for Image Analysis, SLU, Uppsala, Sweden
autor
  • Dept. Electr. and Telecomm., Univ. of Florence, Florence, Italy
autor
  • Dept. of Food Science, SLU, Uppsala, Sweden
Bibliografia
  • [1] Cassidy R. D., Ockerman H. W., Krol B., Van Roon P. S., Plimpton R. F. Jr, Cahill V. R.: Effect of tumbling method, phosphate level and final cook temperature on histological characteristics of tumbled porcine muscle tissue. J. of Food Science, 43, 1514-1518, 1978.
  • [2] Krause R. J., Plimpton R. F., Ockerman H. W., Cahill V. R.: Influence of tumbling and sodium tripolyphosphate on salt and nitrite distribution in porcine muscle. J. of Food Science, 43, 190-192, 1978.
  • [3] Ballard D., Brown C.: Computer Vision. Prentice-Hall, Englewood Cliffs, NJ, 1982.
  • [4] Foley J. D., van Dam A.: Fundamentals of Interactive Computer Graphics. Addison-Wesley, 1982.
  • [5] Mandelbrot B. B.: The Fractal Geometry of Nature. W. H. Freeman and Co, 1983.
  • [6] Naveau J. Contribution à l'étude du déterminisme génétique de la qualité de viande porcine. Héritabilité du rendement technologique Napole. Journes de la Recherche Porcine en France, 18, 265-276, 1986.
  • [7] Le Roy P., Naveau J., Elsen J. M., Sellier P.: Evidence for a new major gene influencing meat quality in pigs. Genetical Research, 55, 33-40, 1990.
  • [8] Lawlis T. L., Plimpton R. F., Ockerman H. W., Parrett N. A.: Electrical stimulation and tumbling affect pre-rigor cured, sectioned and formed ham roasts. J. of Food Science, 57, 564-568, 1992.
  • [9] Estrade M., Vignon X., Monin G.: Effect of the RN gene on ultrastructure and protein fractions in pig meat muscle. Meat Science, 35, 313-319, 1993.
  • [10] Monin G.: The effect of the RN gene on fresh and processed pork. Lundström K., Hansson I., Wiklund E. (Eds.): Composition of meat in relation to processing, nutritional and sensory quality., 57-67. ECCEAMST, The Netherlands, 1995.
  • [11] Lundström K., Enfält A.-C.: Rapid prediction of RN phenotype in pigs by means of meat juice. Meat Science, 45, 127-131, 1996.
  • [12] SAS Institute Inc., Cary, NC, USA. Statistical Analysis System (SAS system for Windows), release 6.12, 1996.
  • [13] Li H., Liu K. J. R., Lo S.: Fractal modeling and segmentation for the enhancement of microcalcifications in digital mammograms. IEEE Trans. on Medical Imaging, 16, 785-798, 1997.
  • [14] Berg E. P., Kallel F., Hussain F., Miller R. K., Ophir J., Kehtarnavaz N.: The use of elastography to measure quality characteristics of pork semimembranosus muscle. Meat Science, 53, 31-35, 1999.
  • [15] Milan et al.: A mutation in PRKAG3 associated with excess glycogen content in pig skeletal muscle. Science, 288, 1248-1251, 2000.
  • [16] Park B., Chen Y. R.: AE-automation and emerging technologies: co-occurrence matrix texture features of multi-spectral images on poultry carcasses. J. of Agricultural Engineering Research, 78, 127-139, 2001.
  • [17] Ballerini L.: Genetic snakes for color images segmentation. Application of Evolutionary Computation, LNCS, 2037, 2001.
  • [18] Gonzalez R C, Woods RE: Digital Image Processing. Addison-Wesley Publishing Company, 2002.
  • [19] Hullberg A., Lundström K., Virhammar K.: The effects of RN genotype and tumbling on sensory and technological meat quality of cured-smoked loins. Proc. of 48th Int. Congress of Meat Science and Technology, Rome, 25-30 Aug, 2002.
  • [20] A. Hullberg, L. Ballerini. Determination of holes and cracks in meat with image analysis. Proc. of the 48th Int. Congress of Meat Science and Technology, Rome, 25-30 Aug, 2002.
  • [21] Brosnan T., Sun D.: Inspection and grading of agricultural and food products by computer vision systems a review. Computers and Electronics in Agriculture, 36, 193-213, Nov, 2002.
  • [22] Quevedo R., Carlos L.-G., Aguilera J. M., Cadoche L.: Description of food surfaces and microstructural changes using fractal image texture analysis. J. of Food Engineering, 53, 361-371, 2002.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0006-0022
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