| Technology and Methodology |
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Extraction of color image texture feature based on gray-level co-occurrence matrix |
| HOU Qunqun1, WANG Fei1,2, YAN Li1 |
1. College of Resources and Environment, Northwest A & F University, Yangling 712100, China;
2. Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling 712100, China |
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Abstract Texture plays a very important role in image retrieval and classification, and texture feature extraction has been a research hotspot. Most present existing texture extraction algorithms can be only used to calculate texture features of gray image. Texture extraction algorithm for color image is very few. Referring to the analytical method of gray level co-occurrence matrix (GLCM),the authors analyzed the influence law of parameters (direction,distance,grayscale,window size)on GLCM texture features of color image. A color image texture feature extraction method(color GLCM,CGLCM)based on GLCM was realized. Through analyzing the influence law of these parameters on four texture features(ASM(angular second moment),Entropy,Contrast,Correlation),a proper parameter value range was given and the CGLCM method was optimized. The results of comparing CGLCM method with GLCM method show that the four texture features calculated with CGLCM method have better robustness and identification capability. These results can provide reference for image retrieval and classification based on texture information.
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| Keywords
ETM+ remote sensing data
linear structure
fractal dimension value
extraction of alteration information
prediction of mineral prospecting
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Issue Date: 21 October 2013
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| [1] Haralick R M.Statistical and structural approaches to texture[J].Proceedings of the IEEE,1979,67(5):786-804.[2] 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. Liu L,Kuang G Y.Overview of image textural feature extraction methods[J].Joumal of Image and Graphics,2009,14(4):622-635.[3] Pearlstine L,Portier K M,Smith S E.Textural discrimination of an invasive plant,Schinus terebinthifolius,from low altitude aerial digital imagery[J].Photogrammetric Engineering & Remote Sensing,2005,71(3):289-298.[4] 杨凯陟,程英蕾.基于灰度共生矩的SAR图像纹理特征提取方法[J].电子科技,2011,24(11):66-69. Yang K S,Cheng Y L.A method of SAR image texture feature extraction based on co-occurrence matrix[J].Electronic Science and Technology,2011,24(11):66-69.[5] 李智峰,朱谷昌,董泰锋.基于灰度共生矩阵的图像纹理特征地物分类应用[J].地质与勘探,2011,47(3):456-461. Li Z F,Zhu G C,Dong T F.Application of GLCM-based texture features to remote sensing image classification[J].Geology and Exploration,2011,47(3):456-461.[6] 颜梅春,张友静,鲍艳松.基于灰度共生矩阵法的IKONOS影像中竹林信息提取[J].遥感信息,2004(2):31-34. Yan M C,Zhang Y J,Bao Y S.Deriving bamboos from IKNOS image by texture information[J].Remote Sensing Information,2004 (2): 31-34.[7] Muniz R,Corrales J A.Novel techniques for color texture classification[C]// Hamid R.IPCV'06: Proceeding. USA:WORLDCOMP'06 Publication,2006:6114-6120.[8] BENCČO M,Hudec R.Novel method for color textures features extraction based on GLCM[J].Radioengineering,2007,4(16):64-67.[9] Hossain K,Parekh R.Extending GLCM to include color information for texture recognition[C]//Paruya S.International conference on modeling,optimization,and computing.America:American Institute of Physics,2010:583-588.[10] 苑丽红,付丽,杨勇,等.灰度共生矩阵提取纹理特征的实验结果分析[J].计算机应用,2009(4):1018-1021. Yuan L H,Fu L,Yang Y,et al.Analysis of texture feature extracted by gray levelco-occurrence matrix[J].Journal of Computer Appcations,2009(4): 1018-1021.[11] 陈美龙,戴声奎.基于GLCM算法的图像纹理特征分析[J].通信技术,2012(2):108-111. Chen M L,Dai S K.Analysis on image texture based on gray-level co-occurrence matrix[J].Communications Technology,2012(2):108-111.[12] 冯建辉,杨玉静.基于灰度共生矩阵提取纹理特征图像的研究[J].北京测绘,2007(3):19-22. Feng J H,Yang Y J.Study of texture images extraction based on gray level co-occurrence matrix[J].Beijing Surveying and Mapping,2007(3):19-22.[13] 薄华,马缚龙,焦李成.图像纹理的灰度共生矩阵计算问题的分析[J].电子学报,2006,34(1):155-158,134. Bo H,Ma F L,Jiao L C.Research on computation of GLCM of image texture[J].Acta Electronica Sinica,2006,34(1): 155-158,134.[14] Haralick R M,Shanmugam K,Dinstein I H.Textural features for image classification[J].IEEE Transactions,Systems,Man and Cybernetics,1973(6):610-621.[15] 刘黎明.黄土高原丘陵沟壑区土壤侵蚀遥感定量与信息系统研究——以陕西米脂县为例[J].自然资源学报,1992,7(4):363-371. Liu L M.A study on soil erosion and land use planning with remote sensing in the hill and gully region of the loess plateau[J].Journal of natural resources,1992,7(4):363-371.[16] 黄艳,张超,苏伟,等. 合理尺度纹理分析遥感影像分类方法研究[J].国土资源遥感,2008,20(4):14-17,105,109. Huang Y,Zhang C,Su W,et al. A study of the optimal scale texture analysis for remote sensing image classification[J].Remote sensing for Land and Resources,2008,20(4):14-17,105,109.[17] 于浩,刘志红,张晓萍,等. 基于傅立叶变换的梯田纹理特征提取[J].国土资源遥感,2008,20(2):39-42. Yu H,Liu Z H,Zhang X P,et al. Extraction of terraced field texture features based on fouried transformation[J].Remote Sensing for Land and Resources,2008,20(2):39-42.[18] Fern C J S,Warner T A. Scale and texture in digital image classification[J].Photogrammetric Engineering and Remote Sensing,2002,68(1):51-63. |
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2013,
Vol. 25
