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

• 作 者: Xingmei Wang Guangyu Liu Lin L
• 机 构: SchoolofComputerScienceandTechnology,SchoolofShipbuildingEngineering,SchoolofInformationandCommunica
• 出 处: 国际计算机前沿大会会议论文集
• 发表日期: 2015年1期
• 关键词: SONAR image Character frequency DOMAIN Block k-means CLUSTERING Fuzzy CLUSTERING
• 基金项目: 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

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 prop