|
|
|
|
LEADER |
01000naa a22002652 4500 |
001 |
NLM177763825 |
003 |
DE-627 |
005 |
20231223150934.0 |
007 |
tu |
008 |
231223s1995 xx ||||| 00| ||eng c |
028 |
5 |
2 |
|a pubmed24n0593.xml
|
035 |
|
|
|a (DE-627)NLM177763825
|
035 |
|
|
|a (NLM)18290018
|
040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
041 |
|
|
|a eng
|
100 |
1 |
|
|a Pei, S C
|e verfasserin
|4 aut
|
245 |
1 |
0 |
|a Wavelet transform and scale space filtering of fractal images
|
264 |
|
1 |
|c 1995
|
336 |
|
|
|a Text
|b txt
|2 rdacontent
|
337 |
|
|
|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
|
338 |
|
|
|a Band
|b nc
|2 rdacarrier
|
500 |
|
|
|a Date Completed 02.10.2012
|
500 |
|
|
|a Date Revised 21.02.2008
|
500 |
|
|
|a published: Print
|
500 |
|
|
|a Citation Status PubMed-not-MEDLINE
|
520 |
|
|
|a In this correspondence, we consider wavelet transform and scale space filtering as special cases of general scale shift mapping (SSM). Then, the SSM is used as a tool for characterizing the geometrical complexity of uniform fractals. This tool can reveal the construction rule of fractals and estimate fractal dimension. Finally, we use the results obtained from scale shift mapping to estimate iterated function system (IFS) codes of a class of fractal images. Some examples have been illustrated to demonstrate its good performance
|
650 |
|
4 |
|a Journal Article
|
700 |
1 |
|
|a Tseng, C C
|e verfasserin
|4 aut
|
700 |
1 |
|
|a Lin, C Y
|e verfasserin
|4 aut
|
773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 4(1995), 5 vom: 15., Seite 682-7
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
|
773 |
1 |
8 |
|g volume:4
|g year:1995
|g number:5
|g day:15
|g pages:682-7
|
912 |
|
|
|a GBV_USEFLAG_A
|
912 |
|
|
|a SYSFLAG_A
|
912 |
|
|
|a GBV_NLM
|
912 |
|
|
|a GBV_ILN_350
|
951 |
|
|
|a AR
|
952 |
|
|
|d 4
|j 1995
|e 5
|b 15
|h 682-7
|