结合形态学运算的谱抠图声纳图像分割法

吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (01): 228-233.

结合形态学运算的谱抠图声纳图像分割法

刘光宇¹, 卞红雨¹, 石红²

1. 哈尔滨工程大学水声工程学院, 哈尔滨 150001;
2. 哈尔滨工程大学信息与通信工程学院, 哈尔滨 150001

收稿日期:2010-05-13 出版日期:2012-01-01 发布日期:2012-01-01
作者简介:刘光宇(1982-),男,博士研究生.研究方向:信号与信息处理,声纳图像处理. E-mail:ariel_0528@yahoo.cn
基金资助:
国家自然科学基金项目(50909025,61077079).

Sonar image segmentation based on spectral matting using morphological operations

LIU Guang-yu¹, BIAN Hong-yu¹, SHI Hong²

1. College of Underwater Acoustics Engineering,Harbin Engineering University,Harbin 150001,China;
2. College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China

Received:2010-05-13 Online:2012-01-01 Published:2012-01-01

摘要/Abstract

摘要：

针对数字抠图与图像分割之间的联系,提出一种结合形态学运算的谱抠图声纳彩色图像分割法。首先通过形态学中的顶帽(top-hat)变换和底帽(bottom-hat)变换去除声纳图像中阴影的影响和背景的不均匀性,并进行图像增强;其次,将数字抠图中的alpha值考虑到图像分割中,通过全局平均迭代阈值法获取阈值,对抠图所获alpha图像进行阈值处理得出分割结果;最后,与多种现有的分割方法进行仿真对比实验,实验结果证明了本文分割方法的有效性。

关键词: 信息处理技术, 声纳图像分割, 谱抠图, 形态学运算

Abstract:

Based on the link between digital matting and image segmentation, a sonar image segmentation method using spectral matting and morphological operations was proposed. First, the effect of sonar image shadows of and background nonuniformity were removed and the image was enhanced through morphological top-hat transformation and bottom-hat transformation. Then, the alpha value of the digital matting was taken into consideration in image segmentation; the threshold value was obtained by the global average iteration method; and the segmentation results were obtained by threshold process of the alpha images. Finally, simulation experiments were conducted to compare the proposed segmentation method with existing popular segmentation methods. The results show that the proposed method is more suitable for sonar image segmentation and the output pictures are more reliable with more details than other methods.

Key words: information processing, sonar image segmentation, spectral matting, morphological operations

中图分类号:

TN919.8

刘光宇, 卞红雨, 石红. 结合形态学运算的谱抠图声纳图像分割法[J]. 吉林大学学报(工学版), 2012, 42(01): 228-233.

LIU Guang-yu, BIAN Hong-yu, SHI Hong. Sonar image segmentation based on spectral matting using morphological operations[J]. 吉林大学学报(工学版), 2012, 42(01): 228-233.

参考文献

[1] Glasbey C A. An analysis of histogram based thresholding algorithms
[J]. CVGIP-GMIP, 1993, 55 (6): 532-537.

[2] Ando S. Consistent gradient operators
[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22 (3) : 252-265.

[3] Li N,Liu M,Li Y.Image segmentation algorithm using watershed transform and level set method//The 2007 IEEE International Conferent on Acoustics, Speech and Signal Processing(ICASSP), Honolulu, USA, 2007: 613-616.

[4] Chang H, Yeung D Y. Robust path-based spectral clustering with application to image segmentation//The 10th IEEE International Conference on Computer Vision, Beijing, 2005: 278-285.

[5] 金鑫. 基于均值平移算法的彩色图像前背景分割方法研究. 兰州: 兰州大学信息与通信工程学院, 2009. Jin Xin. Algorithm research and implementation on color image segmentation of foreground and background based on mean shift. Lanzhou: College of Information and Communication, Lanzhou University, 2009.

[6] Wang J, Cohen M F. An iterative optimization approach for unified image segmentation and matting//The 10th IEEE International Conf on Computer Vision, Beijing, 2005: 936-943.

[7] Poter T, Duff T. Compositing digital images//Computer Graphics Proceedings, Annual Conference Series, ACM SIGGRAPH, New York, 1984: 253- 259.

[8] 杜振龙. 图像-视频抠像技术的研究. 杭州: 浙江大学计算机科学与技术学院, 2007. Du Zhen-long. Research on image&video matting. Hangzhou: College of Computer Science and Technology, Zhejiang University, 2007.

[9] 林生佑, 潘瑞芳, 杜辉, 等. 数字抠图技术综述
[J]. 计算机辅助设计与图形学学报, 2007, 19 (4): 473-479. Lin Sheng-you, Pan Rui-fang, Du Hui, et al. A survey on digital matting
[J]. Journal of Computer-aided Design& Computer Graphics, 2007, 19 (4):473-479.

[10] Levin A, Rav-Acha A, Lischinski D. Spectral matting
[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2008, 30 (10):1699-1712.

[11] Levin A, Lischinski D, Weiss Y. A closed form solution to natural image matting
[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(2): 228-242.

[12] Gonzalez C, Woods E. Digital Image Processing(2nd ed)
[M]. 北京:电子工业出版社, 2008: 595-600.

[13] 陈箫枫, 潘保昌, 郑胜林, 等. 用顶帽变换估计并消除图像背景
[J]. 微计算机信息, 2008, 24(3): 310-311. Chen Xiao-feng, Pan Bao-chang, Zheng Sheng-lin, et al. Estimate and eliminate background of image with top-hat transformation
[J]. Control & Automation, 2008, 24 (3): 310-311.

[14] 吴玉娥, 何发智, 黄志勇. 具有纠偏性的图像抠图的全局优化方法
[J]. 计算机辅助设计与图形学学报, 2010, 22(2): 264-271. Wu Yu-e, He Fa-zhi, Huang Zhi-yong. Global optimization of deviation rectification for image matting
[J]. Journal of Computer-aided Design & Computer Graphics, 2010, 22(2):264-271.

[15] Li C, Xu C, Gui C, et al. Level set evolution without re-initialization: a new variational formulation//IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA, 2005: 430-436.

[16] Zelnik-Manor L, Perona P. Self-tuning spectral clustering//The 17th Conference on Neural Information Processing Systems, Cambridge, MA, 2004: 1601-1608.

相关文章 15

[1]	苏寒松,代志涛,刘高华,张倩芳. 结合吸收Markov链和流行排序的显著性区域检测[J]. 吉林大学学报(工学版), 2018, 48(6): 1887-1894.
[2]	徐岩,孙美双. 基于卷积神经网络的水下图像增强方法[J]. 吉林大学学报(工学版), 2018, 48(6): 1895-1903.
[3]	黄勇,杨德运,乔赛,慕振国. 高分辨合成孔径雷达图像的耦合传统恒虚警目标检测[J]. 吉林大学学报(工学版), 2018, 48(6): 1904-1909.
[4]	李居朋,张祖成,李墨羽,缪德芳. 基于Kalman滤波的电容屏触控轨迹平滑算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1910-1916.
[5]	应欢,刘松华,唐博文,韩丽芳,周亮. 基于自适应释放策略的低开销确定性重放方法[J]. 吉林大学学报(工学版), 2018, 48(6): 1917-1924.
[6]	陆智俊,钟超,吴敬玉. 星载合成孔径雷达图像小特征的准确分割方法[J]. 吉林大学学报(工学版), 2018, 48(6): 1925-1930.
[7]	刘仲民,王阳,李战明,胡文瑾. 基于简单线性迭代聚类和快速最近邻区域合并的图像分割算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1931-1937.
[8]	单泽彪,刘小松,史红伟,王春阳,石要武. 动态压缩感知波达方向跟踪算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1938-1944.
[9]	姚海洋, 王海燕, 张之琛, 申晓红. 双Duffing振子逆向联合信号检测模型[J]. 吉林大学学报(工学版), 2018, 48(4): 1282-1290.
[10]	全薇, 郝晓明, 孙雅东, 柏葆华, 王禹亭. 基于实际眼结构的个性化投影式头盔物镜研制[J]. 吉林大学学报(工学版), 2018, 48(4): 1291-1297.
[11]	陈绵书, 苏越, 桑爱军, 李培鹏. 基于空间矢量模型的图像分类方法[J]. 吉林大学学报(工学版), 2018, 48(3): 943-951.
[12]	陈涛, 崔岳寒, 郭立民. 适用于单快拍的多重信号分类改进算法[J]. 吉林大学学报(工学版), 2018, 48(3): 952-956.
[13]	孟广伟, 李荣佳, 王欣, 周立明, 顾帅. 压电双材料界面裂纹的强度因子分析[J]. 吉林大学学报(工学版), 2018, 48(2): 500-506.
[14]	林金花, 王延杰, 孙宏海. 改进的自适应特征细分方法及其对Catmull-Clark曲面的实时绘制[J]. 吉林大学学报(工学版), 2018, 48(2): 625-632.
[15]	王柯, 刘富, 康冰, 霍彤彤, 周求湛. 基于沙蝎定位猎物的仿生震源定位方法[J]. 吉林大学学报(工学版), 2018, 48(2): 633-639.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed