An analysis of the image homogeneity in an ionization-type infrared image converter using the fractal dimension

2001 ◽  
Vol 49 (4) ◽  
pp. 205-212 ◽  
Author(s):  
H Yucel Kurt ◽  
E Kurt ◽  
B G Salamov
1979 ◽  
Vol 19 (5) ◽  
pp. 507-522 ◽  
Author(s):  
Carlos B. Roundy

2005 ◽  
Vol 81 (7) ◽  
pp. 1009-1014 ◽  
Author(s):  
L.M. Portsel ◽  
V.M. Marchenko ◽  
S. Matern ◽  
H.-G. Purwins

2002 ◽  
Vol 21 (1) ◽  
pp. 81-87
Author(s):  
B. G. Salamov ◽  
A. Günen

1980 ◽  
Author(s):  
J. Grinberg ◽  
U. Efron ◽  
M. J. Little ◽  
W. P. Bleha

1971 ◽  
Vol 18 (11) ◽  
pp. 1108-1112 ◽  
Author(s):  
J.E. Dueker ◽  
R.H. Glaenzer ◽  
G.A. Saum

2011 ◽  
Vol 58-60 ◽  
pp. 1877-1881
Author(s):  
Xu Liang Xie ◽  
Ali Hui

A new idea, using chirplet as the staff to define fractal dimension, is proposed in this paper, based on self- similitude of knowing essence of things from collectivity to part, from macroscopy to microcosm, in fractal theory and chirplet transformation. Chirplet fractal dimension is defined as the sum of high-frequency values of decomposed signals. The edge of infrared image is detected through chirplet fractal dimension, experimental results show that this new algorithm is simple and effective to detect whole contour and detail information, and is better than other traditional operators.


1968 ◽  
Vol 7 (1) ◽  
pp. 17 ◽  
Author(s):  
S. Spinak ◽  
P. P. Barron ◽  
S. Karp ◽  
R. B. Hankin ◽  
R. H. Meier

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