Research on Modulus Maximum Edge Detection Algorithm Based on Non-Perfect Reconstruction Biorthogonal Wavelet

摘要：

In consideration of the particularity of edge detection, the perfect construction condition of biorthogonal wavelet is relaxed. Based on parameterized algebraical method, the non-prefect reconstruction biorthogonal wavelet is presented. The low pass decomposition filter of non-prefect reconstruction biorthogonal wavelet is even symmetry about zero location. So the edge position is more accuracy in multiscale image edge detection. And the high pass decomposition filter is odd symmetry about 1/2 location and the sign is monotonic. This property can ensure that the constructed wavelet has good competence in image edge detection. The wavelet modulus maximum algorithm is improved. A new algorithm of adaptive stratified threshold is presented. The simulation results show that the non-prefect reconstruction biorthogonal wavelet is effectual and accurate.

关键词： filter banks symmetry biorthogonal wavelet edge detection non-prefect reconstruction

作者: Qiang Zhu Hongxi Wang

作者单位: Mechanical & Electrical Engineering InstituteXi’an Technological UniversityXian, China Mechanical & Electrical Engineering Institute Xi’an Technological University Xian, China

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）