基于双Gamma指数的主动声呐图像灰度校正方法  

Active Sonar Image Grayscale Correction Method Based on Double Gamma Index

作　　者：邢嘉元 梁增[1] XING Jiayuan;LIANG Zeng(Hangzhou Applied Acoustics Research Institute,Hangzhou 310023,China)

机构地区：[1]杭州应用声学研究所,浙江杭州310023

出　　处：《电声技术》2023年第3期19-22,共4页Audio Engineering

摘　　要：针对主动声呐在工作时受强混响影响,声呐图像中目标亮点显示被严重压缩导致视觉效果差、目标人工筛选困难的问题,提出一种基于双Gamma指数的主动声呐图像灰度校正方法。该方法对传统单Gamma指数图像灰度校正方法进行改进,针对主动声呐图像特点,将像素点根据灰度最大类间方差计算结果分为混响灰度区间、背景灰度区间以及目标灰度区间,对不同区间分别构建Gamma指数函数,实现灰度分区调整。实验数据分析结果表明,该方法相对于单Gamma指数图像灰度校正方法能够更好地适应复杂背景,在改善视觉效果的同时,提高了目标与背景间的对比度。Aiming at the problem that active sonar is influenced by strong reverberation when working,and the display of bright spots of targets in active sonar images is severely compressed,which leads to poor visual effect and difficult manual screening of targets,a gray correction method of active sonar images based on double Gamma index is proposed.This method improves the traditional single Gamma index image gray correction method.According to the characteristics of active sonar image,pixels are divided into reverberation gray interval,background gray interval and target gray interval according to the calculation result of the maximum inter-class variance of gray level,and Gamma index functions are constructed for different intervals to realize gray partition adjustment.The experimental data analysis results show that this method can better adapt to the complex background than the single Gamma index image gray correction method,and improve the visual effect and the contrast between the target and the background.

关 键 词：主动声呐 强混响 声呐图像 双Gamma指数 灰度校正 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]