Target Detection Algorithm of Underwater Sonar Image
Aiming at terms of target detection in high-frequency sonar image. Firstly, target detection algorithm based on fractal features was depicted; secondly, based on analysis of pixels grey-level distribution function in the sonar image, a novel algorithm used to target detection was presented. In the regions of sliding window around each pixel in sonar image,this method estimated distribution function parameters and error between grey-level distribution function and normalized histogram as features, which were adopted to construct characteristic images of sonar image. Then adaptive threshold arithmetic was used to detect target fast and exactly. Simulation results indicate that this method has characteristics of real-time and high-precise. Besides, it can overcome the influence of natural objects such as rock to realize extract man-made target. Then, this algorithm can improve capability of underwater detection effectively.
Target detection Gray-distribution model Fractal theory Man-made target Sonar image
Xiaodong Tian Zhong Liu Dechao Zhou
Department of Electronic Engineering, Naval University of Engineering Wuhan, Hubei Province,.China
国际会议
杭州
英文
296-299
2006-10-12（万方平台首次上网日期，不代表论文的发表时间）