Detection of Underwater Objects by Adaptive Threshold FCM Based on Frequency Domain and Time Domain  

作　　者：Xingmei Wang Guangyu Liu Lin Li Shouxuan Jiang 

机构地区：[1]School of Computer Science and Technology,Harbin Engineering University,Harbin,China [2]School of Shipbuilding Engineering,Harbin Engineering University,Harbin,China [3]School of Information and Communication Engineering,Harbin Engineering University,Harbin,China

出　　处：《国际计算机前沿大会会议论文集》2015年第1期57-58,共2页International Conference of Pioneering Computer Scientists, Engineers and Educators（ICPCSEE）

基　　金：This work was supported by the National Natural Science Foundation of China (41306086), technology innovation talent special foundation of Harbin (2014RFQXJ105) and Fundamental Research Funds for the Central Universities (No.HEUCFR1121, HEUCF100606).

摘　　要：According to the characteristics of sonar image data with big data feature, In order to accurately detect underwater objects of sonar image, a novel adaptive threshold FCM (Fuzzy Clustering Algorithm, FCM) based on frequency domain and time domain is proposed. Based on the relationship between sonar image data and big data, Firstly, wavelet de-noising method is used to smooth noise. After de-noising, the sonar image is blocked and each sub-block region is processed by two-dimensional discrete Fourier transform, their maximum amplitude spectrum used as frequency domain character, then time domain of mean and standard deviation, frequency domain of maximum amplitude spectrum are taken for character to complete block k-means clustering, the initial clustering center is determined, after that made use of FCM on sonar image detection, based on clustered image, adaptive threshold is constructed by the distribution of sonar image sea-bottom reverberation region, and final detection results of sonar image are completed. The comparison different experiments demonstrate that the proposed algorithm get good detection precision and adaptability.

关 键 词：SONAR image CHARACTER frequency DOMAIN Block k-means CLUSTERING Fuzzy CLUSTERING algorithm Adaptive threshold 

分 类 号：C5[社会学]