Abstract：Image segmentation plays an important role in object-based image analysis. In order to enhance the performance of segmentation method for hierarchical region growing (HRG),this paper proposes a new image segmentation algorithm. The new method consists of three steps: seed determination, seeded region growing (SRG)based over-segmentation (advanced SRG, ASRG) and HRG. To improve the automation and precision of seeds determination, the authors used Gabor texture feature and defined textural homogeneity, attempting to place the seeds at the center of the regions composed of the same texture. At the stage of SRG, spectral information of HRI was combined with shape cues to form a new merging rule to raise the segmentation accuracy and segments compactness of SRG over-segmentation. At the HRG step, an adaptive threshold was used to better retain the multi-scale segmentation property. In the experiment, three scenes of HRI were utilized to validate the proposed method. A supervised segmentation evaluation method was adopted to quantitatively assess the segmentation accuracy of the proposed algorithm, and two state-of-the-art segmentation methods were compared with the proposed method. The experimental results show that the new algorithm proposed in this paper can produce satisfying segmentation.
苏腾飞, 张圣微, 李洪玉. 基于纹理特征与区域生长的高分辨率遥感影像分割算法[J]. 国土资源遥感, 2017, 29(2): 72-81.
SU Tengfei, ZHANG Shengwei, LI Hongyu. Segmentation algorithm based on texture feature and region growing for high-resolution remote sensing image. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(2): 72-81.
 Zhong Y F,Zhao B,Zhang L P.Multiagent object-based classifier for high spatial resolution imagery[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(2):841-857.  Bouziani M,Goita K,He D C.Rule-based classification of a very high resolution image in an urban environment using multispectral segmentation guided by cartographic data[J].IEEE Transactions on Geosciences and Remote Sensing,2010,48(8):3198-3211.  Zhang X L,Xiao P F,Song X Q,et al.Boundary-constrained multi-scale segmentation method for remote sensing images[J].ISPRS Journal of Photogrammetry and Remote Sensing,2013,78(2):15-25.  Tilton J C,Tarabalka Y,Montesano P M,et al.Best merge region-growing segmentation with integrated nonadjacent region object aggregation[J].IEEE Transactions on Geosciences and Remote Sensing,2012,50(11):4454-4467.  Yi L N,Zhang G F,Wu Z C.A scale-synthesis method for high spatial resolution remote sensing image segmentation[J].IEEE Transactions on Geosciences and Remote Sensing,2012,50(10):4062-4070.  Blaschke T,Hay G J,Kelly M,et al.Geographic object-based image analysis:Towards a new paradigm[J].ISPRS Journal of Photogrammetry and Remote Sensing,2014,87:180-191.  Canny J.A computational approach to edge detection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1986,8(6):679-698.  Wu Q G,An J B.An active contour model based on texture distribution for extracting inhomogeneous insulators from aerial images[J].IEEE Transaction on Geosciences and Remote Sensing,2014,52(6):3613-3626.  Johnson B,Xie Z X.Unsupervised image segmentation evaluation and refinement using a multi-scale approach[J].ISPRS Journal of Photogrammetry and Remote Sensing,2011,66(3):473-483.  Beaulieu J M,Goldberg M.Hierarchy in picture segmentation:A stepwise optimization approach[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1989,11(2):150-163.  Baatz M,Schäpe A.Multiresolution segmentation:An optimization approach for high quality multi-scale image segmentation[C]//Strobl J,Blaschke T,Griesebner G.Angewandte Geographische Informationsverarbeitung XII.Karlsruhe:Wichmann Verlag,2000:12-23.  Yu Q Y,Clausi D A.IRGS:Image segmentation using edge penalties and region growing[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2008,30(12):2126-2139.  Wang F,Wu Y,Zhang Q,et al.Unsupervised SAR image segmentation using higher order neighborhood-based triplet Markov fields model[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(8):5193-5205.  Zhang P,Li M,Wu Y,et al.Unsupervised multi-class segmentation of SAR images using fuzzy triplet Markov fields model[J].Pattern Recognition,2012,45(11):4018-4033.  Bitam A,Ameur S.A local-spectral fuzzy segmentation for MSG multispectral images[J].International Journal of Remote Sensing,2013,34(23):8360-8372.  Tao W B,Jin H,Zhang Y M.Color image segmentation based on mean shift and normalized cuts[J].IEEE Transactions on Systems,Man,and Cybernetics,Part B:Cybernetics,2007,37(5):1382-1389.  Michel J,Youssefi D,Grizonnet M.Stable mean-shift algorithm and its application to the segmentation of arbitrarily large remote sensing images[J].IEEE Transactions on Geoscience and Remote Sensing,2015,53(2):952-964.  Yuan J Y,Wang D L,Li R X.Remote sensing image segmentation by combining spectral and texture features[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(1):16-24.  Yuan J Y,Wang D L,Li R X.Image segmentation using local spectral histograms and linear regression[J].Pattern Recognition Letters,2012,33(5):615-622.  Adams R,Bischof L.Seeded region growing[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1994,16(6):641-647.  Lee T C M.Some Models and Methods for Image Segmentation[D].Macquarie:Macquarie University,1997.  Fan J P,Yau D K Y,Elmagarmid A K,et al.Automatic image segmentation by integrating color-edge extraction and seeded region growing[J].IEEE Transactions on Image Processing,2001,10(10):1454-1466.  Evans C,Jones R,Svalbe I,et al.Segmenting multispectral Landsat TM images into field units[J].IEEE Transactions on Geoscience and Remote Sensing,2002,40(5):1054-1064.  Haralick R M,Shanmugam K,Dinstein I.Textural features for image classification[J].IEEE Transactions on Systems,Man,and Cybernetics,1973,3(6):610-621.  Sivalingamaiah M,Reddy B D V.Texture segmentation using multichannel Gabor filtering[J].IOSR Journal of Electronics and Communication Engineering,2012,2(6):22-26.  Farrell M D,Mersereau R M.On the impact of PCA dimension reduction for hyperspectral detection of difficult targets[J].IEEE Geosciences and Remote Sensing Letters,2005,2(2):192-195.  Levinshtein A,Stere A,Kutulakos K N,et al.TurboPixels:Fast superpixels using geometric flows[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2009,31(12):2290-2297.