基于模糊增强算法的声呐图像目标增强研究

Research on target enhancement of sonar image based on fuzzy enhancement

针对水下有缆遥控机器人(Remote Operated Vehicle,ROV)作业环境复杂多变,基于传统模糊增强算法声呐图像处理中,低灰度值像素点丢失等一系列问题,本文提出一种基于ln函数的声呐图像模糊图像增强算法。以声呐扫描图像为研究对象,针对传统的中值滤波算法在对声呐图像去噪时所需时间过长的问题,研究了一种改进的中值滤波算法,使得声呐图像去噪处理速度更快。针对传统的模糊增强声呐图像处理算法中低灰度值像素点丢失的问题,提出一种基于ln函数的模糊图像增强算法。经实验验证,基于ln函数的模糊图像增强算法解决了低\度值像素点丢失的问题。

Aiming at the complex and changeable working environment of the underwater cable remote control robot(ROV),this paper presents a sonar image enhancement algorithm based on LN function,which is based on a series of problems such as loss of low gray value pixels in sonar image processing by traditional fuzzy enhancement algorithm.Aiming at the problem that the traditional median filtering algorithm takes too long to denoise sonar image,an improved median filtering algorithm is studied,which makes the processing speed of sonar image denoising faster.Aiming at the loss of low-grayvalue pixels in traditional image processing algorithms of fuzzy enhanced sonar,a new image enhancement algorithm based on LN function is proposed.The experimental results show that the fuzzy image enhancement algorithm based on LN function solves the problem of losing low gray value pixels.