摘要
传统舰船图像灰度校正方法,存在高动态复杂光照条件下,图像动态差,计算精度降低,图像灰度区域系数修正量异常,无法准确校正高动态区域图像灰度系数的问题。因此,基于复杂光照条件特征,提出复杂光照条件下舰船图像灰度校正方法研究。首先对复杂光照图像的高动态区域进行灰度差分计算,划分需要灰度校正的复杂光照区域;接着,对复杂光照图像区域的灰度进行高动态灰度系数模型计算,得到灰度优化系数;最后通过模型优化量替换计算,完成对灰度校正系数的优化,从而实现复杂光照条件下舰船图像灰度的精准校正。通过实验数据对比发现,采用提出的校正方法后,复杂光照条件下的图像灰度校正准确度较传统校正方法,具有显著提升且效果稳定。
The traditional ship image gray correction method,there is the condition of high dynamic complex illumination,image dynamic difference calculation accuracy reduction,image gray area coefficient correction amount is abnormal,unable to accurately correct the image gray coefficient of high dynamic area.Therefore,based on the characteristics of complex light conditions,the ship image gray correction method is proposed.Firstly calculate the gray scale difference of the high dynamic area of the complex light image,divide the gray correction area,perform high dynamic gray scale coefficient model calculation of the complex light image area to obtain the gray scale optimization coefficient,and complete the model optimization replacement calculation,so as to realize the accurate correction of the ship image under complex light conditions.By comparing the experimental data,after using the proposed correction method,the accuracy of the image gray correction under complex illumination conditions is significantly improved and stable than the traditional correction method.
作者
戴晓峰
DAI Xiao-feng(Nantong Institute of Technology,Nantong 226002,China)
出处
《舰船科学技术》
北大核心
2021年第22期175-177,共3页
Ship Science and Technology
关键词
复杂光照
图像
灰度
校正
complex illumination
images
grayscale
correction
