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第2期 陈阳,等:基于仿生形象思维方法的图像检索算法的改进 ·213· [J].电子学报,2010,38(5):993-997. retrieval[J].IEEE Transactions on Multimedia,2014,16 WANG Shoujue,SUN Hua.An image retrieval algorithm (4):1104-1114. based on biomimetic imaginal thinking[J].Acta Electronica [12]PAPUSHOY A,BORS A G.Image retrieval based on que- Sinica,2010.38(5):993-997. ry by saliency content [J].Digital Signal Processing, [2]DATTA R,LI J,WANG J Z.Content-based image retriev- 2015,36:156-173. al-approaches and trends of the new age[C]//Proceedings [13]ZAND M,DORAISAMY S.Texture classification and dis- of the Seventh International Workshop on Multimedia Infor- crimination for region-based image retrieval[J].Journal of mation Retrieval.Singapore,2005:253-262. Visual Communication and Image Representation,2015, [3]黄祥林,沈兰荪.基于内容的图像检索技术研究[J].电 26:305-316. 子学报,2002,30(7):1065-1071. [14]WALIA E,VESAL S.An effective and fast hybrid frame- HUANG Xianglin,SHEN Lansun.Research on content- work for color image retrieval[J].Sensing and Imaging, based image retrieval techniques[J].Acta Electronica Sini- 2014,15(1):93-115. ca,2002,30(7):1065-1071. [15]GUPTA A,JAIN R.Visual information retrieval[J].Com- [4]VELTKAMP R C,TANASE M.Content-based image retriev- munications of the ACM,1997,40(5):71-79. al systems:a survey,UU-CS-2000-34[R].Department of [16]王守觉,来弧亮.多维空间仿生信息学入门[M].北京: Computer Science,Utrech University,2002. 国防工业出版社,2008:1. [5]陈晨.基于颜色直方图的图像检索[J].哈尔滨师范大学 [17]王守觉.仿生模式识别(拓扑模式识别)一一种模式 自然科学学报,2014,30(2):31-35. 识别新模型的理论与应用[J].电子学报,2002,30 CHEN Chen.Image retrieval based oil color histogram[]]. (10):1417-1420. Natural Sciences Journal of Harbin Normal University, WANG Shoujue.Bionic (topological)pattern recognition- 2014,30(2):31-35. a new model of pattern recognition theory and its applica- [6]梁美丽,牛之贤.改进的综合颜色纹理特征图像检索 tions[]]Acta Electronica Sinica,2002,30(10):1417- [J].计算机应用与软件,2014,31(6):228-231 1420. LIANG Meili,NIU Zhixian.Improved image retrieval with [18]王守觉,王柏南.人工神经网络的多维空间几何及其理 integrated colour and texture features[].Computer Applica- 论[J].电子学报,2002,30(1):14. tions and Software,2014,31(6):228-231. WANG Shoujue,WANG Bainan.Analysis and theory of [7]宋卫华.基于底层纹理特征的图像检索[J],长春工业大 学学报:自然科学版,2014,35(2):135-138. high dimensional space geometry for artificial neural net- works[J].Acta Electronica Sinica,2002,30(1):1-4. SONG Weihua.Image retrieval based on low-level texture features[J].Journal of Changchun University of Technology: [19]WANG Shoujue,LAI Jiangliang.High dimensional imagery Natural Science Edition,2014,35(2):135-138. geometry and its applications[J].Chinese Journal of Elec- [8]黄祥林,沈兰荪.基于内容的图像检索技术研究[J].电 tronics,2006,15(4):761-767. 子学报,2002,30(7):1065-1071. [20]李志欣,施智平.图像检索中语义映射方法综述[J].计 HUANG Xianglin,SHEN Lansun.Research on content- 算机辅助设计与图形学学报,2008,20(8):1085-1096. based image retrieval techniques[J].Acta Electronica Sini- LI Zhixin,SHI Zhiping.A survey of semantic mapping in ca,2002,30(7):1065-1071. image retrieval[J].Journal of Computer-Aided Design and [9]曹建芳,陈俊杰,赵青杉.基于多语义特征融合的图像检 Computer Graphics,2008,20(8):1085-1096. 索[J].计算机技术与发展,2014,24(5):134-138. [21]DATTA R,LI Jia,WANG J Z.Content-based image re- CAO Jianfang,CHEN Junjie,ZHAO Qingshan.Image re- trieval-approaches and trends of the new age[C]//Pro- trieval based on various semantic feature fusion[J.Conput- ceedings of the 7th International Workshop on Multimedia er Technology and Development,2014,24(5):134-138. Information Retrieval.Singapore,2005:253-262. [10]庄凌,庄越挺,吴江琴,等.一种基于稀疏典型性相关分 [22]于永健,王向阳,吴俊峰.基于颜色复杂度的加权颜色 析的图像检索方法[J].软件学报,2012,23(5):1295- 直方图图像检索算法[J].小型微型计算机系统,2009, 1304 30(3):507-511 ZHUANG Ling,ZHUANG Yueting,WU Jiangqin,et al. YU Yongjian,WANG Xiangyang,WU Junfeng.Weighted Image retrieval approach based on sparse canonical correla- histogram color image retrieval based on color complexity tion analysis[J].Journal of Software,2012,23(5):1295- measure[J].Journal of Chinese Computer Systems,2009. 1304. 30(3):507.511. [11]XIE H,ZHANG Y.Contextual query expansion for image [23]成琳,陈俊杰,相洁.图像颜色特征提取技术的研究与[J]. 电子学报, 2010, 38(5): 993⁃997. WANG Shoujue, SUN Hua. An image retrieval algorithm based on biomimetic imaginal thinking[J]. Acta Electronica Sinica, 2010, 38(5): 993⁃997. [2]DATTA R, LI J, WANG J Z. Content⁃based image retriev⁃ al—approaches and trends of the new age[C] / / Proceedings of the Seventh International Workshop on Multimedia Infor⁃ mation Retrieval. Singapore, 2005: 253⁃262. [3]黄祥林, 沈兰荪. 基于内容的图像检索技术研究[ J]. 电 子学报, 2002, 30(7): 1065⁃1071. HUANG Xianglin, SHEN Lansun. Research on content⁃ based image retrieval techniques[ J]. Acta Electronica Sini⁃ ca, 2002, 30(7): 1065⁃1071. [4]VELTKAMP R C, TANASE M. Content⁃based image retriev⁃ al systems: a survey,UU⁃CS⁃2000⁃34 [ R]. Department of Computer Science, Utrech University, 2002. [5]陈晨. 基于颜色直方图的图像检索[ J]. 哈尔滨师范大学 自然科学学报, 2014, 30(2): 31⁃35. CHEN Chen. Image retrieval based oil color histogram[ J]. Natural Sciences Journal of Harbin Normal University, 2014, 30(2): 31⁃35. [6]梁美丽, 牛之贤. 改进的综合颜色纹理特征图像检索 [J]. 计算机应用与软件, 2014, 31(6): 228⁃231. LIANG Meili, NIU Zhixian. Improved image retrieval with integrated colour and texture features[J]. Computer Applica⁃ tions and Software, 2014, 31(6): 228⁃231. [7]宋卫华. 基于底层纹理特征的图像检索[ J]. 长春工业大 学学报: 自然科学版, 2014, 35(2): 135⁃138. SONG Weihua. Image retrieval based on low⁃level texture features[J]. Journal of Changchun University of Technology: Natural Science Edition, 2014, 35(2): 135⁃138. [8]黄祥林, 沈兰荪. 基于内容的图像检索技术研究[ J]. 电 子学报, 2002, 30(7): 1065⁃1071. HUANG Xianglin, SHEN Lansun. Research on content⁃ based image retrieval techniques[ J]. Acta Electronica Sini⁃ ca, 2002, 30(7): 1065⁃1071. [9]曹建芳,陈俊杰,赵青杉. 基于多语义特征融合的图像检 索[J]. 计算机技术与发展, 2014, 24(5): 134⁃138. CAO Jianfang, CHEN Junjie, ZHAO Qingshan. Image re⁃ trieval based on various semantic feature fusion[J]. Conput⁃ er Technology and Development, 2014, 24(5): 134⁃138. [10]庄凌,庄越挺,吴江琴, 等. 一种基于稀疏典型性相关分 析的图像检索方法[ J]. 软件学报,2012,23(5): 1295⁃ 1304. ZHUANG Ling, ZHUANG Yueting, WU Jiangqin, et al. Image retrieval approach based on sparse canonical correla⁃ tion analysis[J]. Journal of Software, 2012, 23(5): 1295⁃ 1304. [11]XIE H, ZHANG Y. Contextual query expansion for image retrieval[J]. IEEE Transactions on Multimedia, 2014, 16 (4): 1104⁃1114. [12]PAPUSHOY A , BORS A G. Image retrieval based on que⁃ ry by saliency content [ J ]. Digital Signal Processing, 2015, 36: 156⁃173. [13]ZAND M, DORAISAMY S. Texture classification and dis⁃ crimination for region⁃based image retrieval[ J]. Journal of Visual Communication and Image Representation, 2015, 26: 305⁃316. [14]WALIA E, VESAL S. An effective and fast hybrid frame⁃ work for color image retrieval [ J]. Sensing and Imaging, 2014, 15(1): 93⁃115. [15]GUPTA A, JAIN R. Visual information retrieval[J]. Com⁃ munications of the ACM, 1997, 40(5): 71⁃79. [16]王守觉, 来疆亮. 多维空间仿生信息学入门[M]. 北京: 国防工业出版社, 2008: 1. [17]王守觉. 仿生模式识别(拓扑模式识别)———一种模式 识别新模型的理论与应用[ J]. 电子学报, 2002, 30 (10): 1417⁃1420. WANG Shoujue. Bionic (topological) pattern recognition— a new model of pattern recognition theory and its applica⁃ tions[J]. Acta Electronica Sinica, 2002, 30(10): 1417⁃ 1420. [18]王守觉, 王柏南. 人工神经网络的多维空间几何及其理 论[J]. 电子学报, 2002, 30(1): 1⁃4. WANG Shoujue, WANG Bainan. Analysis and theory of high dimensional space geometry for artificial neural net⁃ works[J]. Acta Electronica Sinica, 2002, 30(1): 1⁃4. [19]WANG Shoujue, LAI Jiangliang. High dimensional imagery geometry and its applications[J]. Chinese Journal of Elec⁃ tronics, 2006, 15(4): 761⁃767. [20]李志欣, 施智平. 图像检索中语义映射方法综述[J]. 计 算机辅助设计与图形学学报, 2008, 20(8): 1085⁃1096. LI Zhixin, SHI Zhiping. A survey of semantic mapping in image retrieval[J]. Journal of Computer⁃Aided Design and Computer Graphics, 2008, 20(8): 1085⁃1096. [21]DATTA R, LI Jia, WANG J Z. Content⁃based image re⁃ trieval⁃approaches and trends of the new age [ C] / / Pro⁃ ceedings of the 7th International Workshop on Multimedia Information Retrieval. Singapore, 2005: 253⁃262. [22]于永健, 王向阳, 吴俊峰. 基于颜色复杂度的加权颜色 直方图图像检索算法[ J]. 小型微型计算机系统,2009, 30(3): 507⁃511. YU Yongjian, WANG Xiangyang, WU Junfeng. Weighted histogram color image retrieval based on color complexity measure[J]. Journal of Chinese Computer Systems, 2009, 30(3): 507⁃511. [23]成琳, 陈俊杰, 相洁. 图像颜色特征提取技术的研究与 第 2 期 陈阳,等:基于仿生形象思维方法的图像检索算法的改进 ·213·
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