[1]
Fischmeister H. F. (1974): Shape factors in quantitative microscopy, Zeitschrift für Metallkunde, Vol. 65, 558-562 p.
Google Scholar
[2]
Beddow J. K., Vetter A. F., Sissopn K. (1976a): Powder Metallurgy Review, Part I., Particle shape analysis, Powder Metallurgy International, Vol. 8, No. 2, 69-76. p.
Google Scholar
[3]
Beddow J. K., Vetter A. F., Sissopn K. (1976b): Powder Metallurgy Review, Part I., Particle shape analysis, Powder Metallurgy International, Vol. 8, No. 3, 107-109 p.
Google Scholar
[4]
Underwood E. E. (1976): Quantitative shape parameters for microstructural fetures, The Microscope, Vol. 24, 49-64 p.
Google Scholar
[5]
Pavlidis T. (1978): Survey. A review of algorithm for shape analysis, Computer Graphics and Images Processing, Vol. 7, 243-258 p.
Google Scholar
[6]
Roósz A., Réti T. (1978): A sztereometrikus metallográfia és mai alkalmazási lehetőségei, Bányászati és Kohászati Lapok, Kohászat, Vol. 111, No. 7, 308-313 p.
Google Scholar
[7]
Réti T. (1983): Mikroszkópos részecskék alakjának minősítése, Bányászati és Kohászati Lapok, Kohászat, Vol. 116 No. 12, 549-557 p.
Google Scholar
[8]
Exner H. E. (1987): Shape - A key problem in quantifying microstusture, Acta Stereologica, Vol. 6/III, 1023-1028 p.
Google Scholar
[9]
Flook A. (1987): The quantitative measurement of particle shape, Acta Stereologica, Vol. 6/III, 1009-1021 p.
Google Scholar
[10]
Sonka M., Hlavac V., Boyle R. (1993): Image Processing, Analysis and Machine Vision, Chapman and Hall Computing, London.
Google Scholar
[11]
Santolo L. A. (1976): Integral Geometry and Geometric Probability, Addision-Wsley, Reading, Massachusetts.
Google Scholar
[12]
Pratt W. K. (1987): Digital Image Processing, John Wiley and Sons, New York, 525-534 p.
Google Scholar
[13]
Parker J. R. (1994): Practical Computer Vision Using C, John Wiley and Sons, New York.
Google Scholar
[14]
Gácsi Z. (2001): Szereológia és képelemzés, Well-Press Kiadó Kft., 205-232 p.
Google Scholar
[15]
Nemes N. J. (1998): A tér a társadalomtudományban, Hirsner Rezső Szociálpolitikai Egyesület Kiadó, Budapest, 143.
Google Scholar
[16]
Csepeli ZS., Gácsi Z., Karalik GY., Lőrinczi J., Zsámbok D. (2001): Stereological characterisation of steel wide strip microstructures after normalising and thermomechanical rolling, Anyagok világa. Vol. 2. No 2.
DOI: 10.4028/www.scientific.net/msf.414-415.63
Google Scholar
[17]
Zahn C., Roskies R. Z. (1972): Fourier descriptors for plane closed curves, IEEE Trans. Computers, Vol. 21, 269-281 p.
DOI: 10.1109/tc.1972.5008949
Google Scholar
[18]
Bennett J. R., Mac Donald, J. S. (1975): On the mesurement of curvature in a quantized environment, IEEE Trasaction on Computers, Vol. 24. 803-819 p.
Google Scholar
[19]
Granlund G. H. (1972): Fourier preprocessing for hand print character recognition, IEEE Transaction on computers, Vol. C-21. 195-201p.
DOI: 10.1109/tc.1972.5008926
Google Scholar
[20]
Richard C. W., Hemami H. (1974): Identification of the three-dimensional objects Fourier descriptors of the boundary curve, IEEE Trasaction on System, Man, and Cybernetics, Vol. SMC-4. 371-378 p.
DOI: 10.1109/tsmc.1974.5408458
Google Scholar
[21]
Persoon E., Fu K S. (1977): Shape discrimination using Fourier Descriptors, IEEE Transaction on System, Man, and Cybernetics, Vol. SMC-7. 170-179 p.
DOI: 10.1109/tsmc.1977.4309681
Google Scholar
[22]
Réti T., Czinege I. (1989): Shape characterization of particles via generalized Fourier analysis, Journal of Microscopy, Vol. 156, 15-32 p.
DOI: 10.1111/j.1365-2818.1989.tb02903.x
Google Scholar
[23]
Tang X. (1998): Multiple competitive learning network fusion for object classification, IEEE Transactions on System, Man, and Cybernetics Part B, Vol. 28, 532-543 p.
DOI: 10.1109/3477.704292
Google Scholar
[24]
Szakal Z., Zsoldos I. (2008): The Symmetry-Diagram as a Tool of the Pattern Recognition, International Journal of Mathematical Models and Methods in Applied Sciences, Issue 4, Volume 2, 523-532 p.
Google Scholar