Sonar image preprocessing based on morphological wavelet transform

摘要：

Sonar image preprocessing is the key step in the recognition and location system. In this paper we gave a new morphological wavelet for sonar gray image preprocessing. Firstly, made midpoint filter as the low-pass filter of morphological wavelet; then under the perfect reconstruction, constructed the morphological midpoint wavelet transform in the multiresolution analysis framework; finally enhance it by the lifting scheme. In the simulation experiment, we made its application to the sonar image preprocessing, and the performance of the proposed method is much superior to the existed wavelet transform both in high SNR or low SNR, also its edge-preserving effect is outstanding.

关键词： Sonar image image preprocessing morphological wavelet midpoint filter

作者: Hong Shi Hui Wang Chunhui Zhao Zhengyan Shen

作者单位: College of Information and Communication Engineering Harbin Engineering University Harbin,Heilongjia College of Automation Harbin Engineering University Harbin,Heilongjiang Province,China College of Underwater Acoustics Engineering Harbin Engineering University Harbin,Heilongjiang Provin

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-5

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）