DocumentCode :
535114
Title :
Construction of NPR biorthogonal wavelet and its application in edge detection
Author :
Zhu, Qiang ; Lao, Qicheng
Author_Institution :
Mech. & Electr. Eng. Inst., Xi´´an Technol. Univ., Xi´´an, China
Volume :
3
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
1049
Lastpage :
1053
Abstract :
Based on parameterized algebraical method, the non-prefect reconstruction (NPR) biorthogonal wavelet is presented. According to the particularity of image edge detection process, the perfect construction condition is relaxed. The low pass decomposition filter of non-prefect reconstruction biorthogonal wavelet is even symmetry about zero location, so that the edge position is more accuracy in multi-scale decomposition. The high pass decomposition filter is odd symmetry about 1/2 location and the sign is monotonic. The wavelet with above properties can ensure the validity of edge detection.
Keywords :
edge detection; low-pass filters; NPR biorthogonal wavelet; image edge detection process; low pass decomposition filter; non-prefect reconstruction; parameterized algebraical method; perfect construction condition; Filter bank; Image edge detection; Image reconstruction; Information filters; Low pass filters; Wavelet transforms; biorthogonal; edge detection; filter banks; non-prefect reconstruction; symmetry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
Type :
conf
DOI :
10.1109/CISP.2010.5646925
Filename :
5646925
Link To Document :
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