基于统计对消的激光水下图像的目标提取法

费佩燕; 郭宝龙; 孟繁杰; 章正宇; 张小龙

中国激光, 2004, 31 (7): 815, 网络出版: 2006-06-12

基于统计对消的激光水下图像的目标提取法

Target Extraction of Underwater Laser Image Based on Statistic Counteraction

论文大纲

费佩燕 ^1,*郭宝龙 ¹孟繁杰 ¹章正宇 ²张小龙 ²

作者单位

¹ 西安电子科技大学测控工程系, 陕西西安 710071

² 华北光电技术研究所,北京 100015

摘要

激光水下目标的识别是一个崭新的研究领域,有许多问题亟待解决,其中目标提取问题是关键。由于激光照射下的水下图像含有大量的散斑噪声,严重影响图像的质量。依据统计规律相同的噪声可以对消图像中的噪声这一原理,结合小波变换和统计方法,提出了一种基于统计对消的水下目标分割方法(SC)。其中,采用小波变换,对低频成分进行特殊处理,以增强图像中的目标信息;采用统计方法来充分抵消图像中的干扰噪声。实验结果表明,水下目标分割方法是有效且可行的。

Abstract

The recognition of underwater laser target is a new disquisitive field, in which many problems are open, and extraction is the key problem. To recognize underwater target, extraction must be performed well because there is a lot of speckle noise in underwater laser images. Target segmentation of underwater laser image based on statistic counteraction (SC) principle i.e. noise with identically statistic characteristics can counteract noise in images is proposed to remove speckle noise and extract the target in images with wavelet transform and statistics. Experiments demonstrate that this method is efficient and feasible.

参考文献

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费佩燕, 郭宝龙, 孟繁杰, 章正宇, 张小龙. 基于统计对消的激光水下图像的目标提取法[J]. 中国激光, 2004, 31(7): 815. 费佩燕, 郭宝龙, 孟繁杰, 章正宇, 张小龙. Target Extraction of Underwater Laser Image Based on Statistic Counteraction[J]. Chinese Journal of Lasers, 2004, 31(7): 815.

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