基于数学形态学的侧扫声呐图像轮廓自动提取

罗进华; 蒋锦朋; 朱培民

doi:10.3969/j.issn.0253-4193.2016.05.014

基于数学形态学的侧扫声呐图像轮廓自动提取

doi: 10.3969/j.issn.0253-4193.2016.05.014

1.
中海油田服务股份有限公司, 天津 300451
2.
中国地质大学(武汉) 地球物理与空间信息学院, 湖北武汉 430074

基金项目: 中海油田服务股份有限公司科研项目——AUV调查数据处理解释系统开发(E-23132019)。

计量
- 文章访问数: 868
- HTML全文浏览量: 19
- PDF下载量: 947
- 被引次数: 0
出版历程
- 收稿日期: 2015-05-12

Automatic extraction of the side-scan sonar imagery outlines based on mathematical morphology

1.
China Oilfield Services Limited, Tianjin 300451, China
2.
Institute of Geophysics & Geomatics, China University of Geosciences, Wuhan 430074, China

摘要

摘要: 侧扫声呐图像特征自动提取的难点在于特征地貌边缘检测较困难,依据图像灰度突变检测得到的边缘比较粗糙、不连续,而且有断口和小洞。本文在对图像进行预处理和阈值化的基础上,采用数学形态学方法对图像进行处理,即用具有一定形态的结构元素去量度和提取图像中的对应形状,得到连续化、粗化、圆滑的特征区域边缘填充目标内部阴影且消除背景噪声。基于数学形态学的侧扫声呐图像特征自动提取的主要步骤为:首先对侧扫声呐图像进行预处理,然后进行灰度阈值化,接着采用数学形态学方法进行处理,最后对处理后的图像进行边缘检测,提取出特征地貌边缘。实验表明,采用数学形态学方法进行处理后,错断、离散的海底目标物变得连续,背景噪声大大减少,自动提取结果准确可靠。
- 侧扫声呐图像 /
- 数学形态学 /
- 海底地貌特征 /
- 自动提取
Abstract: Automatic extraction of the side-scan sonar imagery outlines is difficult. The results extracted by edge detection based on sharp gray-scale gradient of image are discontinuous and rough, and also have gaps and holes edge detection. After preprocessing the side-scan sonar image and thresholding, some processings are carried out to take the smooth and continuous rims of the geological objectives, and to eliminate the background noises, by measuring and extracting the corresponding shape from the image with a certain form of structural element according to the basic idea of mathematical morphology. The algorithm of feature extraction for the side-scan sonar imagery based on mathematical morphology is as follows: firstly, preprocess the image and do thresholding it; then process the image by mathematical morphology; finally obtained the edges of the geological objectives by edge-detection technology. The numerical experiments show that this method leads to smooth and continuous and accurate detection, meanwhile, greatly reduced background noise.
- side-scan sonar /
- mathematical morphology /
- seabed feature /
- automatic extraction

HTML全文

参考文献(23)

金翔龙. 海洋地球物理研究与海底探测声学技术的发展[J]. 地球物理学进展, 2007, 22(4): 1243-1249. Jin Xianglong. The development of research in marine geophysics and acoustic technology for submarine exploration[J]. Progress in Geophysics, 2007, 22(4):1243-1249.

Celik T, Tjahjadi T. A novel method for sidescan sonar image segmentation[J]. IEEE Journal of Oceanic Engineering, 2011, 36(2): 186-194.

Sonka M, Hlavac V, Boyle R. Image processing, analysis, and machine vision[M]. 北京:人民邮电出版社, 2003. Sonka M, Hlavac V, Boyle R. Image processing, analysis, and machine vision[M]. Beijing: Post & Telecom Press, 2003.

王兴梅. 水下声呐图像目标分割方法的研究及应用[D]. 哈尔滨: 哈尔滨工程大学, 2008. Wang Xingmei. Research and application of the underwater object segmentation algorithm based on the sonar imagery[D]. Harbin: Harbin Engineering University, 2008.

王敏, 李庆武, 程晓轩. 侧扫声纳图像的NSCT域模极大值边缘检测[J]. 计算机工程, 2011, 37(24): 207-209. Wang Min, Li Qingwu, Cheng Xiaoxuan. NSCT domain modulus maximum edge detection in side-scan sonar image[J]. Computer Engineering, 2011, 37(24): 207-209.

郭芳侠, 梁娟, 王晅. 基于模糊推理的噪声图像边缘检测[J]. 计算机工程, 2010, 36(15): 194-195. Guo Fangxia, Liang Juan, Wang Xuan. Edge detection for noisy images based on fuzzy reasoning[J]. Computer Engineering, 2010, 36(15): 194-195.

Reed S, Petillot Y, Bell J. An automatic approach to the detection and extraction of mine features in sidescan sonar[J]. IEEE Journal of Oceanic Engineering, 2003, 28(1): 90-105.

蒋立军, 杜文萍, 许枫. 侧扫声纳回波信号的增益控制[J]. 海洋测绘, 2002, 22(3): 6-8. Jiang Lijun, Du Wenping, Xu Feng. Signal gain adjustment for side scan sonar[J]. Hydrographic Surveying and Charting, 2002, 22(3): 6-8.

Hellequin L, Boucher J M, Lurton X. Processing of high-frequency multibeam echo sounder data for seafloor characterization[J]. IEEE Journal of Oceanic Engineering, 2003, 28(1): 78-89.

范习健, 李庆武, 黄河, 等. 侧扫声呐图像的3维块匹配降斑方法[J]. 中国图象图形学报, 2012, 17(1): 68-74. Fan Xijian, Li Qingwu, Huang He, et al. Side-scan sonar image despeckling based on block-matching and 3D filtering[J]. Journal of Image and Graphics, 2012, 17(1): 68-74.

霍冠英, 李庆武, 王敏, 等. Curvelet 域贝叶斯估计侧扫声呐图像降斑方法[J]. 仪器仪表学报, 2011, 32(1): 170-177. Huo Guanying, Li Qingwu, Wang Min, et al. Side-scan sonar image despeckling based on Bayesian estimation in curvelet domain[J]. Chinese Journal of Scientific Instrument, 2011, 32(1): 170-177.

Bednar J B. Applications of median filtering to deconvolution, pulse estimation, and statistical editing of seismic data[J]. Geophysics, 1983, 48: 1598-1610.

Duncan G, Beresford G. Some analyses of 2-D median fk filters[J]. Geophysics, 1995, 60(4): 1157-1168.

Ng P E, Ma K K. A switching median filter with boundary discriminative noise detection for extremely corrupted images[J]. IEEE Transactions on Image Processing, 2006, 15(6): 1506-1516.

滕惠忠, 严晓明, 李胜全, 等. 侧扫声纳图像增强技术[J]. 海洋测绘, 2004, 24(2): 47-49. Teng Huizhong, Yan Xiaoming, Li Shengquan, et al. Processing techniques of enhancement for side scan sonar images[J]. Hydrographic Surveying and Charting, 2004, 24(2): 47-49.

张济博, 潘国富, 丁维凤. 侧扫声纳图像改正研究[J]. 声学技术, 2009, 28(6):44-47. Zhang Jibo, Pan Guofu, Ding Weifeng. Research on side-scan sonar images' correction[J]. Technical Acoustics, 2009, 28(6):44-47.

Boulinguez D, Quinquis A. 3-D underwater object recognition[J]. IEEE Journal of Oceanic Engineering, 2002, 27(4): 814-829.

李了了, 邓善熙, 丁兴号. 基于大津法的图像分块二值化算法[J]. 微计算机信息, 2005, 21(14): 76-77. Li Liaoliao, Deng Shanxi, Ding Xinghao. Binarization algorithm based on image partition derived from Da-Jing method[J]. Control & Automation, 2005, 21(14): 76-77.

Soille P. Morphological image analysis: principles and applications[M]. New York: Springer-Verlag, 2003.

Haralick R M, Sternberg S R, Zhuang X H. Image analysis using mathematical morphology[J]. IEEE Journal of Oceanic Engineering, 1987, 9(4): 532-550.

袁悦锋, 朱培民, 赵娜, 等. 基于数学形态学的月海圆形撞击坑自动识别方法[J]. 中国科学: 物理学, 力学, 天文学, 2013(3): 324-332. Yuan Yuefeng, Zhu Peimin, Zhao Na, et al. Automatic identification of circular mare craters based on mathematical morphology[J]. Scientia Sinica Physica, Mechanica & Astronomica, 2013(3): 324-332.

Serra J. Introduction to mathematical morphology[J]. Computer Vision Graphics & Image Processing, 1986, 35(3): 283-305.

朱林. 南海北部荔湾3-1气田管道路由区灾害地质特征研究[D]. 青岛:国家海洋局第一海洋研究所, 2013. Zhu Lin. Geological hazards in the northern South China Sea Liwan 3-1 gas field pipeline route[D]. Qingdao: First Institute of Oceanography, State Oceanic Administration, 2013.

施引文献

资源附件(0)

访问统计