第2期 阿丽亚·巴吐尔,等:改进SURF特征的维吾尔文复杂文档图像匹配检索 ·305· cedure and fast computation technique[J].Journal of real- ive study of image low level feature extraction al- time image processing.2016. gorithms[J].Egyptian informatics journal,2013,14(2): [6]闫利,陈林.一种改进的SURF及其在遥感影像匹配中 175-181. 的应用[】.武汉大学学报(信息科学版),2013,38(7): [13]HUANG Ligin,CHEN Caigan,SHEN Henghua,et al 770-773,804. 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[8]罗楠,孙权森,陈强,等.结合SURF特征点与DAISY描 [16]阿丽亚·巴吐尔.基于局部特征的维吾尔文印刷体复杂 述符的图像匹配算法[】.计算机科学,2014,41(11): 文档图像检索研究D1.乌鲁木齐:新疆大学,2017 286-290,300. LUO Nan,SUN Quansen,CHEN Qiang,et al.Image ALIYA Batur.Research on Uyghur printed complex doc- matching algorithm combining SURF feature point and ument image retrieval based on local feature[D].Urum- chi:Xinjiang University,2017. DAISY descriptor[J].Computer science,2014,41(11): 286-290,300. 作者简介: [9]王亚文,陈鸿昶,李邵梅,等.基于关键点匹配的多策略 阿丽亚·巴吐尔,女,1990年生,硕 尺度自适应跟踪算法[J】.计算机工程与设计,2016, 士研究生,主要研究方向为模式识别、 37(1):247-253. 图像检索。 WANG Yawen,CHEN Hongchang,LI Shaomei,et al. Multi-strategy scale adaptive tracking algorithm via keypo- int matching[J].Computer engineering and design,2016, 37(1):247-253. [1O]张凤晶,王志强,吴迪,等.基于SURF的图像配准改进 努尔毕亚亚地卡尔,女,1970年 算法.长春理工大学学报(自然科学版),2016,39(1): 生,讲师,中国人工智能学会会员,主 要研究方向为图像处理、计算机视觉。 112-115 ZHANG Fengjing,WANG Zhiqiang,WU Di,et al.Im- proved algorithm of image regestration based on SURF[J].Journal of Changchun university of science and technology (natural science edition),2016,39(1): 112-115 吾尔尼沙买买提,女,1976年生。 [11]LIU Yanling,MA Sihang.Research on image based on 讲师,中国人工智能学会会员,主要研 究方向为信号与信息处理、模式识别。 improved SURF feature matching[Cl//Proceedings of 7th International Symposium on Computational Intelligence and Design.Hangzhou,China,2014:581-584 [12]EL-GAYAR MM,SOLIMAN H,MEKY N.A comparat-cedure and fast computation technique[J]. Journal of realtime image processing, 2016. 闫利, 陈林. 一种改进的 SURF 及其在遥感影像匹配中 的应用[J]. 武汉大学学报(信息科学版), 2013, 38(7): 770–773, 804. YAN Li, CHEN Lin. A modified SURF descriptor and its application in remote sensing images matching[J]. Geomatics and information science of Wuhan university, 2013, 38(7): 770–773, 804. [6] 陈剑虹, 韩小珍. 结合 FAST-SURF 和改进 k-d 树最近邻 查找的图像配准[J]. 西安理工大学学报, 2016, 32(2): 213–217, 252. CHEN Jianhong, HAN Xiaozhen. Image matching algorithm combining FAST-SURF and improved k-d tree nearest neighbor search[J]. Journal of Xi’an university of technology, 2016, 32(2): 213–217, 252. [7] 罗楠, 孙权森, 陈强, 等. 结合 SURF 特征点与 DAISY 描 述符的图像匹配算法[J]. 计算机科学, 2014, 41(11): 286–290, 300. LUO Nan, SUN Quansen, CHEN Qiang, et al. Image matching algorithm combining SURF feature point and DAISY descriptor[J]. Computer science, 2014, 41(11): 286–290, 300. [8] 王亚文, 陈鸿昶, 李邵梅, 等. 基于关键点匹配的多策略 尺度自适应跟踪算法[J]. 计算机工程与设计, 2016, 37(1): 247–253. WANG Yawen, CHEN Hongchang, LI Shaomei, et al. Multi-strategy scale adaptive tracking algorithm via keypoint matching[J]. Computer engineering and design, 2016, 37(1): 247–253. [9] 张凤晶, 王志强, 吴迪, 等. 基于 SURF 的图像配准改进 算法[J]. 长春理工大学学报(自然科学版), 2016, 39(1): 112–115. ZHANG Fengjing, WANG Zhiqiang, WU Di, et al. Improved algorithm of image regestration based on SURF[J]. Journal of Changchun university of science and technology (natural science edition), 2016, 39(1): 112–115. [10] LIU Yanling, MA Sihang. Research on image based on improved SURF feature matching[C]//Proceedings of 7th International Symposium on Computational Intelligence and Design. Hangzhou, China, 2014: 581–584. [11] [12] EL-GAYAR M M, SOLIMAN H, MEKY N. A comparative study of image low level feature extraction algorithms[J]. Egyptian informatics journal, 2013, 14(2): 175–181. HUANG Liqin, CHEN Caigan, SHEN Henghua, et al. Adaptive registration algorithm of color images based on SURF[J]. Measurement, 2015, 66: 118–124. [13] 安维胜, 余让明, 伍玉铃. 基于 FAST 和 SURF 的图像 配准算法[J]. 计算机工程, 2015, 41(10): 232–235, 239. AN Weisheng, YU Rangming, WU Yuling. Image registration algorithm based on FAST and SURF[J]. Computer engineering, 2015, 41(10): 232–235, 239. [14] HUI Dong, YUAN Handian. Research of image matching algorithm based on SURF features[C]//Proceedings of 2012 International Conference on Computer Science and Information Processing (CSIP). Xi’an, China, 2012: 1140–1143. [15] 阿丽亚•巴吐尔. 基于局部特征的维吾尔文印刷体复杂 文档图像检索研究[D]. 乌鲁木齐: 新疆大学, 2017. ALIYA Batur. Research on Uyghur printed complex document image retrieval based on local feature[D]. Urumchi: Xinjiang University, 2017. [16] 作者简介: 阿丽亚·巴吐尔,女,1990 年生,硕 士研究生,主要研究方向为模式识别、 图像检索。 努尔毕亚·亚地卡尔,女,1970 年 生,讲师,中国人工智能学会会员,主 要研究方向为图像处理、计算机视觉。 吾尔尼沙·买买提,女,1976 年生, 讲师,中国人工智能学会会员,主要研 究方向为信号与信息处理、模式识别。 第 2 期 阿丽亚·巴吐尔,等:改进 SURF 特征的维吾尔文复杂文档图像匹配检索 ·305·