基于图像增强技术的舰船图像拼接
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摘要
当前舰船图像拼接技术存在拼接准确率低、拼接速度慢等问题,为了提高舰船图像拼接精度,设计了基于图像增强技术的舰船图像拼接方法。首先对当前舰船图像拼接方法进行分析,得到舰船图像拼接准确率低的原因,然后采用图像增强技术对原始舰船图像进行预处理,提高舰船图像的清晰度,并计算舰船图像的分块邻域梯度向量,得到舰船图像的初始拼接结果,最后去除舰船图像初始拼接结果中的拼接错误,并引入聚类分析算法对舰船图像拼接结果进行优化。舰船图像拼接仿真测试结果表明,本文方法可以消除图像相似性对拼接结果的不利影响,可以进行高精度的舰船图像拼接,并且减少了舰船图像拼接时间,舰船图像拼接速度要快于当前其他舰船图像拼接方法,获得了令人满意的舰船图像拼接结果。
At present, there are some problems in ship image mosaic technology, such as low mosaic accuracy and slow mosaic speed. In order to improve the accuracy of ship image mosaic, a ship image mosaic method based on image enhancement technology is designed. Firstly, the current methods of ship image mosaic are analyzed, and the reasons for the accuracy of ship image mosaic are obtained. Then, the original ship image is preprocessed by image enhancement technology to improve the clarity of the ship image, and the block neighborhood gradient vector of the ship image is calculated to get the initial result of ship image mosaic. Finally, the mosaic errors in the initial result of ship image mosaic are removed. Cluster analysis algorithm is introduced to optimize the results of ship image mosaic. The simulation results of ship image mosaic show that this method can eliminate the adverse effects of image similarity on the mosaic results, and can achieve high-precision ship image mosaic, and reduce the time of ship image mosaic. The speed of ship image mosaic is faster than other current methods of ship image mosaic. Satisfactory results of ship image mosaic are obtained.
At present, there are some problems in ship image mosaic technology, such as low mosaic accuracy and slow mosaic speed. In order to improve the accuracy of ship image mosaic, a ship image mosaic method based on image enhancement technology is designed. Firstly, the current methods of ship image mosaic are analyzed, and the reasons for the accuracy of ship image mosaic are obtained. Then, the original ship image is preprocessed by image enhancement technology to improve the clarity of the ship image, and the block neighborhood gradient vector of the ship image is calculated to get the initial result of ship image mosaic. Finally, the mosaic errors in the initial result of ship image mosaic are removed. Cluster analysis algorithm is introduced to optimize the results of ship image mosaic. The simulation results of ship image mosaic show that this method can eliminate the adverse effects of image similarity on the mosaic results, and can achieve high-precision ship image mosaic, and reduce the time of ship image mosaic. The speed of ship image mosaic is faster than other current methods of ship image mosaic. Satisfactory results of ship image mosaic are obtained.
引文
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[2]林文学.激光技术的舰船类别识别[J].舰船科学技术, 2018,40(12):67–69.
[3]常戬,刘旺,白佳弘.基于图像融合技术的Retinex图像增强算法[J].计算机工程与科学, 2018, 40(9):1624–1635.
[4]袁小燕,张照锋,张登银,等.基于融合技术的单幅红外图像增强方法[J].电子器件, 2018, 41(4):976–985.