Please wait a minute...
浙江大学学报(工学版)
计算机技术     
新型自适应稳健双边滤波图像分割
张建廷,张立民
海军航空工程学院, 山东 烟台 264001
Image segmentation using novel adaptive robust bilateral filter
ZHANG Jian ting,ZHANG Li min
Naval Aeronautical and Astronautical University, Yantai 264001, China
 全文: PDF(2828 KB)   HTML
摘要:

从稳健回归分析的角度,推导得到高效的稳健双边滤波(BF)模型.针对由纹理、噪声等导致的图像局部梯度变化差异性,提出一种自适应的局部平滑尺度方法.运用该双边滤波模型处理原图像和纹理特征图,提取出灰度梯度和纹理梯度.采用形态学方法进行梯度融合,并使用分水岭变换实现图像分割.在Berkeley图像数据集和遥感图像上的实验结果表明:所提出的新型自适应稳健双边滤波方法可以得到视觉一致的分割效果;与传统方法相比,提高了对象边界识别率并降低了过分割效应;可以作为图像分析预处理过程的有效工具.

Abstract:

 At first, an efficient and robust bilateral filtering (BF) model was derived from the view of robust regression. Then, a self-adaptive local smoothing scale algorithm was introduced to effectively remove the intensity variations of local image caused by textures and noise. With the new BF model, intensity and texture gradients could be extracted separately from input images and texture features. At last, gradients were fused with morphological method; watershed transform was used to implement image segmentation. Experiments were carried out with Berkeley segmentation database and some remote sensing images. As indicated, the proposed novel adaptive robust bilateral filter method can obtain visual consistent segmentation results. Meanwhile, compared with traditional algorithms, the method can acquire more accurate boundaries and reduce over-segmentation effect, which means that this method can be an effective tool in the preprocessing stage of image analysis.

出版日期: 2016-09-22
:  TP 751  
基金资助:

泰山学者工程专项经费资助项目(ts201511020).

通讯作者: 张立民, 男, 教授. ORCID: 0000-0001-6940-7886.     E-mail: iamzlm@163.com
作者简介: 张建廷(1986-), 男, 博士生, 从事系统仿真和图像处理研究. ORCID: 0000-0001-8313-6285. E-mail: changjianting@hotmial.com
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  

引用本文:

张建廷,张立民. 新型自适应稳健双边滤波图像分割[J]. 浙江大学学报(工学版), 10.3785/j.issn.1008-973X.2016.09.09.

ZHANG Jian ting,ZHANG Li min. Image segmentation using novel adaptive robust bilateral filter. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 10.3785/j.issn.1008-973X.2016.09.09.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2016.09.09        http://www.zjujournals.com/eng/CN/Y2016/V50/I9/1703

[1] BEGHDADI A, LARABI M C, BOUZERDOUM A, et al. A survey of perceptual image processing methods [J]. Signal Processing: Image Communication, 2013, 28(8): 811-831.
[2] ACHANTA R, SHAJI A, SMITH K, et al. SLIC superpixels compared to stateoftheart superpixel methods [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(11): 2274-2282.
[3] WANG P, ZENG G, GAN R, et al. Structuresensitive superpixels via geodesic distance [J]. International Journal of Computer Vision, 2013, 103(1): 1-21.
[4] FELZENSZWALB P, HUTTENLOCHER D. Efficient graphbased image segmentation [J]. International Journal of Computer Vision, 2004, 59(2): 167-181.
[5] WITHARANA C, CIVCO D L, MEYER T H. Evaluation of data fusion and image segmentation in earth observation based rapid mapping workflows [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 87: 1-18.
[6] TABIB MAHMOUDI F, SAMADZADEGAN F, REINARTZ P. Object oriented image analysis based on multiagent recognition system [J]. Computers and Geosciences, 2013, 54: 219-230.
[7] CHAJI N, GHASSEMIAN H. Texturegradientbased contour detection [J]. EURASIP Journal on Applied Signal Processing, 2006(1): 18.
[8] OCALLAGHAN R J, BULL D R. Combined morphologicalspectral unsupervised image segmentation [J]. IEEE Transactions on Image Processing, 2005, 14(1): 49-62.
[9] CORCORAN P, WINSTANLEY A, MOONEY P. Complementary texture and intensity gradient estimation and fusion for watershed segmentation [J]. Machine Vision and Applications, 2011, 22(6): 1027-1045.
[10] TSIOTSIOS C, PETROU M. On the choice of the parameters for anisotropic diffusion in image processing [J]. Pattern Recognition, 2013, 46(5): 1369-1381.
[11] TOMASI C, MANDUCHI R. Bilateral filtering for gray and color images [C]∥ Sixth International Conference on Computer Vision, 1998. New Delhi: IEEE, 1998: 839-846.
[12] 陈潇红, 王维东. 基于时空联合滤波的高清视频降噪算法 [J]. 浙江大学学报:工学版, 2013, 47(5): 853-859.
CHEN Xiaohong, WANG Weidong. A HDTV video denoising algorithm based on spatialtemporal filtering [J]. Journal of Zhejiang University:Engineering Science, 2013, 47(5): 853-859.
[13] BLACK M J, SAPIRO G, MARIMONT D H, et al. Robust anisotropic diffusion [J]. IEEE Transactions on Image Processing, 1998, 7(3): 421-432.
[14] DONG G, ACTON S T. On the convergence of bilateral filter for edgepreserving image smoothing [J]. IEEE Signal Processing Letters, 2007, 14(9): 617-620.
[15] 刘晓光,高兴宝. 一种基于GNC和增广拉格朗日对偶的非凸非光滑图像恢复方法[J]. 电子学报,2014,42(2): 264271.
LIU Xiaoguang, GAO Xingbao. A method based on the GNC and augmented lagrangian duality for nonconvex nonsmooth image restoration [J]. Acta Electronica Sinica, 2014, 42(2): 264271.
[16] NIKOLOVA M. Markovian reconstruction using a GNC approach [J]. IEEE Transactions on Image Processing, 1999, 8(9): 1204-1220.
[17] NAVA R, ESCALANTERAMREZ B, CRISTBAL G. A comparison study of Gabor and logGabor wavelets for texture segmentation [C]∥ 2011 7th International Symposium on Proceedings of the Image and Signal Processing and Analysis (ISPA). Dubrovnik: IEEE, 2011: 189194.
[18] CLAUSI D A, JERNIGAN M. Designing Gabor filters for optimal texture separability [J]. Pattern Recogniti-on, 2000, 33(11): 1835-1849.
[19] SOILLE P. Morphological image analysis: principles and applications [M]. New York: SpringerVerlag, 2003: 206-216.
[20] YANG Y, WANG Y, QIAN J. Building identification from SAR image based on the modified markercontrolled watershed algorithm [C]∥Geoscience and Remote Sensing Symposium. Milan:IEEE, 2015: 2481-2484.

[1] 姜波, 解仑, 刘欣, 韩晶, 王志良. 光流模值估计的微表情捕捉[J]. 浙江大学学报(工学版), 2017, 51(3): 577-583.
[2] 文奴,杨世植,崔生成. 基于Curvelet-Wavelet变换高分辨率遥感图像降噪[J]. 浙江大学学报(工学版), 2015, 49(1): 79-86.
[3] 刘俊玮, 韩邦合. 纵横切割的碎片文件复原方法[J]. 浙江大学学报(工学版), 2014, 48(6): 1010-1015.
[4] 崔建涛,王晶,厉小润,赵辽英. 基于空间像素纯度指数的端元提取算法[J]. J4, 2013, 47(9): 1517-1523.
[5] 厉小润, 朱洁尔, 王晶, 赵辽英. 组合核支持向量机高光谱图像分类[J]. J4, 2013, 47(8): 1403-1410.
[6] 马利刚, 张乐平, 邓劲松, 汪雅婕, 王珂. 资源一号“02C”遥感影像土地利用分类[J]. J4, 2013, 47(8): 1508-1516.
[7] 赖小波,朱世强,方纯洁. 一种复杂背景图像三维重建算法及其医学应用[J]. J4, 2012, 46(11): 2061-2067.
[8] 崔建涛, 厉小润, 赵辽英. 高光谱图像亚像元级地物端元提取方法[J]. J4, 2012, 46(10): 1857-1865.
[9] 车红昆, 吕福在, 项占琴. 基于顺序向前浮动搜索时频优选特征的缺陷识别[J]. J4, 2011, 45(12): 2235-2239.
[10] 陈锦伟,冯华君,徐之海. CCD彩色插值的MTF退化研究[J]. J4, 2011, 45(11): 2063-2067.
[11] 厉小润, 伍小明, 赵辽英. 非监督的高光谱混合像元非线性分解方法[J]. J4, 2011, 45(4): 607-613.
[12] 韩凝, 张秀英, 王小明, 陈利苏, 王珂. 高分辨率影像香榧树分布信息提取[J]. J4, 2010, 44(3): 420-425.
[13] 张登荣, 俞乐, 张汉奎, 等. 光学遥感影像快速镶嵌方法[J]. J4, 2009, 43(11): 1988-1993.