基于纹理特征的主动轮廓模型图像分割Image Segmentation of Active Contour Model Based on Texture Feature
张佳明,张荣国,赵建,刘小君
摘要(Abstract):
现有的图像分割方法在轮廓提取过程中大多利用基于图像灰度信息的能量函数,没有考虑目标图像纹理特征信息,不能准确描述待分割纹理图像的边缘轮廓。针对该问题,给出了一种利用主动轮廓模型的方法,将图像纹理信息加入到主动轮廓的能量函数中,构造一种新的外部能量函数,求取函数的最优解,由此获得目标图像轮廓。实验表明,该方法能有效解决复杂纹理图像边缘描述不准确的问题,获得较完整准确的目标轮廓。
关键词(KeyWords): 纹理特征;图像分割;主动轮廓
基金项目(Foundation): 国家自然科学基金(51375132);; 山西省自然科学基金(2013011017);; 晋城市科技局项目(201501004-5);; 太原科技大学研究生创新项目(201530)
作者(Author): 张佳明,张荣国,赵建,刘小君
参考文献(References):
- [1]刘丽,匡纲要.图像纹理特征提取方法综述[J].中国图象图形学报,2009,14(4):622-635.
- [2]ALVARENGA A,PEREIRA W A,AZEVEDO C.Complexity curve and grey level co-occurrence matrix in the texture evaluation of breast tumor on ultrasound images.[J].Medical Physics,2007,34(2):379-387.
- [3]SOILLE P.Morphological Image Analysis:Principles and Applications.Springer[J].Computer Physics Communications,2003,49(5):94-103.
- [4]LIU J W,FENG H Q,ZHOU Y Y,et al.A Novel Automatic Extraction Method of Lung Texture Tree from HRCT Images[J].Zidonghua Xuebao/acta Automatica Sinica,2009,35(4):345-349.
- [5]GRIGORESCU S E,NICOLAI P,PETER K.Comparison of texture features based on Gabor filters[J].IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society,2002,11(10):1160-1167.
- [6]SIQUEIRA F R D,SCHWARTZ W R,PEDRINI H.Multi-scale gray level co-occurrence matrices for texture description[J].Neurocomputing,2013,120(10):336-345.
- [7]曹家梓,宋爱国.基于马尔科夫随机场的纹理图像分割方法研究[J].仪器仪表学报,2015,36(4):776-786.
- [8]徐芳.基于Gabor纹理描述的遥感影像分割[J].测绘科学,2013,38(1):116-117.
- [9]KASS M,WITKIN A,TERZOPOULOS D.Snakes:Active contour models[J].International Journal of Computer Vision,1988,1(4):321-331.
- [10]梅梦杰,徐军.基于形状共享初始化主动轮廓模型的图像分割方法[J].计算机应用研究,2015,32(6):1902-1905.
- [11]任美美,张荣国,胡静,等.融入光度信息图割的图像轮廓提取方法[J].太原科技大学学报,2015,34(2):103-108.
- [12]GE Q,XIAO L,HUANG H,et al.An active contour model driven by anisotropic region fitting energy for image segmentation[J].Digital Signal Processing,2013,23(1):238-243.
- [13]JIANG X,WU X,XIONG Y,et al.Active contours driven by local and global intensity fitting energies based on local entropy[J].Optik-International Journal for Light and Electron Optics,2015,126(24):5672-5677.
- [14]ABDELSAMEA M M,GNECCO G,GABER M M.An efficient Self-Organizing Active Contour model for image segmentation[J].Neurocomputing,2015,149(PB):820-835.
- [15]张效娟,刘技,王昊,等.Snake与多尺度分析的医学图像分割研究[J].计算机工程与应用,2011,47(18):207-209.
- [16]TSENG C C,HSIEH J G,JENG J H.Active contour model via multi-population particle swarm optimization[J].Expert Systems with Applications,2009,36(3):5348-5352.