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Analysis of fruit and vegetable surface color

Wybrane pełne teksty z tego czasopisma
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Języki publikacji
EN
Abstrakty
EN
Changes of color on the surfaces of tomatoes, mushrooms and apples were measured with digital omage processing techniques. Texture analysis methods were applied to identify the stage of ripeness and defects, such as mechanical injuries and microbiological infection. Distributions of red, green, blue color components and intensity values were shown by hisograms. Differences in intensities - in the directions of 0°, 45°, 90°, and 135° - were also collected. First - order statistical parameters and coordinates of polar quality points for sum and defference histogarms were calculated and evaluated. Classification powers of different color signals were compared.
Twórcy
autor
  • SzIE University, Departament of Physics & Control, H 1118 Budapest, Somlo'i u. 14-16 Hungary
autor
  • SzIE University, Departament of Physics & Control, H 1118 Budapest, Somlo'i u. 14-16 Hungary
Bibliografia
  • [1] Unser M.: Sum and difference histograms for texture analysis. IEEE Trans. PAMI, 8, 118-125. 1986.
  • [2] Waksman A., Rosenfeld A.: Sparse, opaque three-dimensional texture, 2B: photometry. PR, 29, 297-313. 1996.
  • [3] Kaffka K. J., Gyarmati L. S.: Investigating the polar qualification system. J. of Near Infrared Spectroscopy, 6, Al91-A200. 1998.
  • [4] Leemans V., Magein H., Destain M.-F.: Defects segmentation on 'Golden Delicious' apples by using colour machine vision. Computers and Electronics in Agriculture, 20, 117-130. 1998.
  • [5] Paschos G.: Chromatic correlation features for texture recognition. PRL, 19, 643-650. 1998.
  • [6] Jähne B., H. Haußecker, Geißler P.: Handbook of Computer Vision and Applications. Vol. 2. Signal processing and pattern recognition. AP, San Diego. 1999.
  • [7] Majumdar S., Jayas D. S.: Classification of cereal grains using machine vision: II. Color models. Trans. ASAE, 43, 1677-1680, 2000.
  • [8] Vizhányó T., Felföldi J.: Enhancing colour differences in images of diseased mushrooms. Computers and Electronics in Agriculture, 26, 187-198. 2000.
  • [9] Vizhányó T.: Colour analysis for mushroom disease assessment. PhD Thesis, SzIE University, Hungary. 2000.
  • [10] Ojala T., Valkealahti K., Oja E., Pietikäinen M.,: Texture discrimination with multidimensional distributions of signed gray-level differences. PR, 34, 727- 39. 2001.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0002-0073
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