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
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;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5646925