基于MRF和图割的多尺度图像分割和配准同步方法
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摘要
图像分割和图像配准是图像处理领域中的两个关键技术.事实上,图像分割和图像配准之间是相互依赖、彼此互惠的.本文以图割理论为基础,结合马尔科夫随机场(Markov Random Field,MRF)模型,提出了一种基于MRF和图割的多尺度图像分割和配准同步方法,该方法通过将分割信息和配准信息耦合在一起,利用两者的相互促进作用,以得到更准确的分割和配准结果,并通过实验证明了该方法的有效性.
Image segmentation and registration are fundamental tasks in the field of image processing. Indeed, image registration significantly benefits from previous segmentation and vice versa. In this paper,a multi-scale joint segmentation and registration approach based on the theory of graph cut and the MRF model is presented. The method couples segmentation information and registration information together,making segmentation and registration both have a higher accuracy.Experimental results verify the effectiveness and the efficiency of the proposed method.
Image segmentation and registration are fundamental tasks in the field of image processing. Indeed, image registration significantly benefits from previous segmentation and vice versa. In this paper,a multi-scale joint segmentation and registration approach based on the theory of graph cut and the MRF model is presented. The method couples segmentation information and registration information together,making segmentation and registration both have a higher accuracy.Experimental results verify the effectiveness and the efficiency of the proposed method.
引文
[1]冈萨雷斯.数字图像处理[M].2版.阮宇智,阮秋琪,译.北京:电子工业出版社,2007.
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[6]白小晶,张洁玉,孙权森,等.耦合配准与分割的水平集演化模型[J].模式识别与人工智能,2010,23(2):222-227.
[7]Zhang Degan,Li Guang,Zheng Ke.An energy-balanced routing method based on forward-aware factor for Wireless Sensor Network[J].IEEE Transactions on Industrial Informatics,2014,10(1):766-773.
[8]Zhang Degan,Kang Xuejing.A novel image de-noising method based on spherical coordinates system[J].Journal on Advances in Signal Processing,2012(110):1-10.
[9]Friston.Unified segmentation[J].Neuro Image,2005,26(3):839-851.
[10]Ting Song,Samson Wong.Integrated four dimensional registration and segmentation of dynamic renal MR images[J].MICCAI,2006,9(2):758-765.
[11]Killian Pohl,John Fisher,William Wells,et al.A Bayesian model for joint segmentation and registration[J].Neuro Image,2006,31(1):228-239.
[12]Christian Ledig.Robust whole-brain segmentation:application to traumatic brain injury[J].Medical Image Analysis,2014,25(4):861-872.
[13]Zhang Degan,Zhu Yannan.A new constructing approach for a weighted topology of wireless sensor networks based on local-world theory for the Internet of Things(IOT)[J].Computers&Mathematics with Applications,2012,64(5):1044-1055.
[14]Song Zhili.Research on image registration algorithm and its applications[D].Shanghai:Fudan University,2012.
[15]Carole Le Guyader,Luminita Vese.A combined segmentation and registration framework with a nonlinear elasticity smoother[J].Computer Vision and Image Understanding,2011,115(12):1689-1709.
[16]Dwarikanath Mahapatra,Sun Ying.Integrating segmentation information for improved MRF-based elastic image registration[J].IEEE Transacyions Image Processing,2012,21(1):170-183.
[17]谢玉波.图像多分辨率特征研究[D].武汉:华中科技大学,2007.
[18]Wu Xiaoyu,Wang Yangsheng.Interactive foreground background segmentation based on braph cut[J].Image and Signal Processing,2008(3):692-696.
[19]兰红,柳显涛.基于图割优化的能量最小化模型图像分割方法[J].计算机应用研究,2012,29(11):4381-4384.
[20]Olivier Juan,Yuri Boykov.Active graph cuts[J].Computer Vision and Patter Recognition,2006(1):1023-1929.
[21]Ford,Fulkerson.Maximal flow through a network[J].Combinatorics modern birkhauser classics,1956(8):399-404.
[22]Onur Seref,James B Orlin.Incremental network optimization:theory and algorithms[J].Operations research,2009,57(3):586-594.
[23]Eitan Sharon,Dahlia Sharon,Merav Galun,et al.Hierarchy and adaptively in segmenting visual scenes[J].Nature,2006,442(7104):810-813.
[2]Sarah Parisot.Concurrent tumor segmentation and registration with uncertainty-based sparse non-uniform graphs[J].Medical Image Analysis,2014,18(4):647-659.
[3]Dwarikanath Mahapatra.Joint segmentation and groupwise registration of cardiac perfusion image using temporal Information[J].Journal Digital Imaging,2013,26(2):173-182.
[4]赵宝林.医学图像分割与配准算法研究与实现[D].成都:电子科技大学,2012.
[5]Dwarikanath Mahapatra,Sun Ying.Joint registration and segmentation of dynamic cardiac perfusion images using MRFs[J].MICCA,2010,13(1):493-501.
[6]白小晶,张洁玉,孙权森,等.耦合配准与分割的水平集演化模型[J].模式识别与人工智能,2010,23(2):222-227.
[7]Zhang Degan,Li Guang,Zheng Ke.An energy-balanced routing method based on forward-aware factor for Wireless Sensor Network[J].IEEE Transactions on Industrial Informatics,2014,10(1):766-773.
[8]Zhang Degan,Kang Xuejing.A novel image de-noising method based on spherical coordinates system[J].Journal on Advances in Signal Processing,2012(110):1-10.
[9]Friston.Unified segmentation[J].Neuro Image,2005,26(3):839-851.
[10]Ting Song,Samson Wong.Integrated four dimensional registration and segmentation of dynamic renal MR images[J].MICCAI,2006,9(2):758-765.
[11]Killian Pohl,John Fisher,William Wells,et al.A Bayesian model for joint segmentation and registration[J].Neuro Image,2006,31(1):228-239.
[12]Christian Ledig.Robust whole-brain segmentation:application to traumatic brain injury[J].Medical Image Analysis,2014,25(4):861-872.
[13]Zhang Degan,Zhu Yannan.A new constructing approach for a weighted topology of wireless sensor networks based on local-world theory for the Internet of Things(IOT)[J].Computers&Mathematics with Applications,2012,64(5):1044-1055.
[14]Song Zhili.Research on image registration algorithm and its applications[D].Shanghai:Fudan University,2012.
[15]Carole Le Guyader,Luminita Vese.A combined segmentation and registration framework with a nonlinear elasticity smoother[J].Computer Vision and Image Understanding,2011,115(12):1689-1709.
[16]Dwarikanath Mahapatra,Sun Ying.Integrating segmentation information for improved MRF-based elastic image registration[J].IEEE Transacyions Image Processing,2012,21(1):170-183.
[17]谢玉波.图像多分辨率特征研究[D].武汉:华中科技大学,2007.
[18]Wu Xiaoyu,Wang Yangsheng.Interactive foreground background segmentation based on braph cut[J].Image and Signal Processing,2008(3):692-696.
[19]兰红,柳显涛.基于图割优化的能量最小化模型图像分割方法[J].计算机应用研究,2012,29(11):4381-4384.
[20]Olivier Juan,Yuri Boykov.Active graph cuts[J].Computer Vision and Patter Recognition,2006(1):1023-1929.
[21]Ford,Fulkerson.Maximal flow through a network[J].Combinatorics modern birkhauser classics,1956(8):399-404.
[22]Onur Seref,James B Orlin.Incremental network optimization:theory and algorithms[J].Operations research,2009,57(3):586-594.
[23]Eitan Sharon,Dahlia Sharon,Merav Galun,et al.Hierarchy and adaptively in segmenting visual scenes[J].Nature,2006,442(7104):810-813.