Computer Science ›› 2017, Vol. 44 ›› Issue (11): 50-55.doi: 10.11896/j.issn.1002-137X.2017.11.008
Previous Articles Next Articles
HAO Hui-zhen, JIANG Feng, LI Na and GU Qing
[1] MARMO R,AMODIO S,TAGLIAFERRI R,et al.Texturalidentification of carbonate rocks by image processing and neural network:methodology proposal and examples[J].Computers & Geosciences,2005,31:649-659. [2] LEI B J,QUE H P.A review and new proposal of sandstone classification[J].Journal of Southwest Petroleum Institute,2002,24(5):11-14.(in Chinese) 雷卞军,阙洪培.砂岩分类新方案[J].西南石油学院学报,2002,4(5):11-14. [3] HARALICK R M,SHANMUGAM K.Computer classification of reservoir sandstones[J].IEEE Transactions on Geoscience Electronics,1973,11(4):171-177. [4] JI C J,YI H S,XIA G Q.Image analysis technique applied to the clastic rock granularity analysis[J].Geological Science and Tech-nology Intelligence,2012,31(3):23-26.(in Chinese) 季长军,伊海生,夏国清.图像分析技术在碎屑岩粒度分析中的应用[J].地质科技情报,2012,1(3):23-26. [5] XU W J,YUE Z Q,HU R L.Current status of digital image based quantitative analysis of internal structures of soils,rocks and concretes and associated numerical simulation[J].Journal of Engineering Geology,2007,15(3):289-313.(in Chinese) 徐文杰,岳中琦,胡瑞林.基于数字图像的土、岩和混凝土内部结构定量分析和力学数值计算的研究进展[J].工程地质学报,2007,15(3):289-313. [6] BAYKAN N A,YILMAZ N.Mineral identification using color spaces and artificial neural networks[J].Computers & Geo-sciences,2010,36(1):91-97. [7] FUETEN F.A computer-controlled rotating polarizer stage for the petrographic microscope[J].Computers & Geosciences,1997,23(2):203-208. [8] FLESCHE H,NIELSEN A A,LARSEN R.Supervised mineral classification with semiautomatic training and validation set ge-neration in scanning electron microscope energy dispersive spec-troscopy images of thin sections[J].Mathematical Geology,2000,32(3):337-366. [9] HOLDEN E J,MOSS S,RUSSELL J K,et al.An image analysismethod to determine crystal size distributions of olivine in kimberlite[J].Computational Geosciences,2009,13(3):255-268. [10] LAUNEAU P,CRUDEN A R,BOUCHEZ J L.Mineral recognition in digital images of rocks:a new approach using multichannel classification [J].The Canadian Mineralogist,1994,32(4):919-933. [11] MARSCHALLINGER R.Automatic mineral classification inthe macroscopic scale[J].Computers & Geosciences,1997,23(1):119-126. [12] MARSCHALLINGER R,HOFMANN P.The application ofobject based image analysis to petrographic micrographs [M]∥Microscopy:Science,Technology,Applications and Education.2010:1526-1532. [13] ROSS B J,FUETEN P,YASHKIR D Y.Edge detection of pe-trographic images using genetic programming[C]∥Proceedings of the 2nd Annual Conference on Genetic and Evolutionary Computation.San Francisco:Morgan Kaufmann,2000:658-665. [14] THOMPSON S,FUETEN F,BOCKUS D.Mineral identification using artificial neural networks and the rotating polarizer stage[J].Computers & Geosciences,2001,27(9):1081-1089. [15] YE R Q,NIU R Q,ZHANG L P.Mineral features extraction and analysis based on multiresolution segmentation of petrographic images[J].Journal of Jilin University(Earth Science Edition),2011,41(4):1253-1261.(in Chinese) 叶润青,牛瑞卿,张良培.基于多尺度分割的岩石图像矿物特征提取及分析[J].吉林大学学报(地球科学版),2011,41(4):1253-1261. [16] ZHAO Q M,WANG R,TENG Q Z,et al.Particle composition analysis based on rock slice orthogonal polarization sequence dia-gram[J].Journal of Terahertz Science and Electronic Information Technology,2015(2):285-290.(in Chinese) 赵启明,王睿,滕奇志,等.基于岩石薄片偏光序列图的颗粒成分分析[J].太赫兹科学与电子信息学报,2015(2):285-290. [17] BARRAUD J.The use of watershed segmentation and GIS software for textural analysis of thin sections[J].Journal of Volcanology and Geothermal Research,2006,154(1):17-33. [18] TARQUINI S,FAVALLI M.A microscopic information system (MIS) for petrographic analysis[J].Computers & Geoscien-ces,2010,36(5):665-674. [19] YESILOGLU-GULTEKIN N,KECELI A S,SEZER E A,et al.A computer program (TSecSoft) to determine mineral percentages using photographs obtained from thin sections [J].Compu-ters & Geosciences,2012,46(3):310-316. [20] ACHANTA R,SHAJI A,SMITH K,et al.Slic superpixels[R].Cole Polytechnique Fédéral de Lausssanne (EPFL),2010. [21] ACHANTA R,SHAJI A,SMITH K,et al.SLIC superpixelscompared to state-of-the-art superpixel methods[J].IEEE Trans- actions on Pattern Analysis and Machine Intelligence,2012,34(11):2274-2282. [22] ALIGHOLI S,KHAJAVI R,RAZMARA M.Automated mineralidentification algorithm using optical properties of crystals[J].Computers & Geosciences,2015,85:175-183. [23] BEGGAN C,HAMILTON C W.New image processing software for analyzing object size-frequency distributions,geometry,orientation,and spatial distribution[J].Computers & Geo-sciences,2010,36(4):539-549. [24] BANDYOPADHYAY S K,PAUL T U.Segmentation of brain tumour from MRI image-analysis of K-means and DBSCAN clustering[J].International Journal of Research in Engineering and Science,2013,1(1):48-57. [25] BIRANT D,KUT A.ST-DBSCAN:An algorithm for clusteringspatial-temporal data[J].Data & Knowledge Engineering,2007,60(1):208-221. [26] ESTER M,KRIEGEL H P,SANDER J,et al.A density-based algorithm for discovering clusters in large spatial databases with noise[C]∥Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96).1996:226-231. [27] GUO L.Rock mechanical analysis research based on polarization image [D].Chengdu:Sichuan University,2013.(in Chinese) 郭亮.基于偏光图像的岩石粒度分析研究[D].成都:四川大学,2013. [28] HUANG Y D,LI P J,LI Z X.The application of geostatistical image texture to remote sensing lithological classification[J].Remote Sensing for Land and Resources,2003,15(3):45-49.(in Chinese) 黄颖端,李培军,李争晓.基于地统计学的图像纹理在岩性分类中的应用[J].国土资源遥感,2003,5(3):45-49. [29] KOVESI P.Image segmentation using SLIC Superpixels andDBSCAN clustering.http://www.peterkovesi.com/projects/segmentation. [30] PENG B,ZHANG L,ZHANG D.A survey of graph theoretical approaches to image segmentation[J].Pattern Recognition,2013,46(3):1020-1038. [31] PENG Y Y,LI S C,CHEN M Y,et al.A Retrieval Method for Identification of Nonopaque Mineral Thin Section through Computer[J].Journal of Jilin University(Earth Science Edition),2006,36(S1):238-240.(in Chinese) 彭媛媛,李世超,陈曼云,等.透明矿物薄片鉴定的计算机检索方法[J].吉林大学学报(地球科学版),2006,36(S1):238-240. [32] PERRING C S,BARNES S J,VERRALL M,et al.Using automated digital image analysis to provide quantitative petrographic data on olivine-phyric basalts[J].Computers & Geosciences,2004,30(2):183-195. [33] SOLYMAR M,FABRICIUS I L.Image analysis and estimation of porosity and permeability of Arnager Greensand,Upper Cretaceous,Denmark[J].Physics and Chemistry of the Earth,Part A:Solid Earth and Geodesy,1999,24(7):587-591. [34] 王德滋,谢磊.光性矿物学[M].北京:科学出版社,2008:97-138. [35] ZHANG D,ISLAM M M,LU G.A review on automatic image annotation techniques[J].Pattern Recognition,2012,45(1):346-362. [36] ZHAO M.Rock thin section micro-image graphic technique and its application in reservoir evaluation[J].Mud Logging Engineering,2007,18(3):13-16.(in Chinese) 赵明.岩石薄片显微图像技术在储集层评价中的应用[J].录井工程,2007,18(3):13-16. [37] PETERNELL M,KRUHL J H.Automation of pattern recognition and fractal-geometry-based pattern quantification,exemplified by mineral-phase distribution patterns in igneous rocks [J].Computers & Geosciences,2009,35(7):1415-1426. |
No related articles found! |
|