摘要
本文主要研究了计算机数字图像技术在对AUV拍摄的水下管道图片处理过程中的作用。主要对质量较差的水下图片进行了灰度变换、直方图处理以增强其对比度,使得图像更为清晰,然后采用高斯滤波和图像分割技术对数字图像进行了提取,获得了图像的特征参数,以此可以初步实现管道图像的计算机解读。从图像处理的效果来看,通过本文的处理方法,模糊的水下图像可以转化为供机器视觉系统提取的准确的数字图像,这为进一步的理解图像信息,以进行AUV的自主光学管道跟踪与航路规划等提供了技术基础。
This paper mainly studies the role of computer digital image processing in the process of underwater pipeline image processing by AUV.Mainly for the poor quality of the underwater image of the gray transform, histogram processing to enhance its contrast,making the image more clear,Then, the digital image is extracted by using Gauss filtering and image segmentation technology, and the characteristic parameters of the images are acquired.From the effect of image processing,the image can be transformed into the image of the machine vision system,This provides a technical basis for the further understanding of the image information,which provides the basis for the AUV's autonomous optical pipeline tracking and route planning.
出处
《电子测试》
2015年第11期164-166,共3页
Electronic Test
关键词
计算机数字图像技术
AUV
水下管道检测
computer digital image technology
AUV
underwater pipeline detection