周维勋,邵振峰,李从敏

• 1:武汉大学测绘遥感信息工程国家重点实验室

摘要(Abstract)：

利用纹理特征进行遥感影像检索时,通常先将多波段影像转化为灰度影像再提取纹理特征,但由于忽略了影像的颜色信息,用于遥感影像检索时往往难以得到好的检索结果。针对此问题,该文利用Gabor小波构造多个相同方向不同尺度的滤波器以提取波段之间的差异信息,并与传统的纹理特征融合构成改进的纹理特征。实验结果表明,相比传统的纹理特征,改进的纹理特征对影像内容的描述能力更强,有效地改善了检索结果,提高了检索查准率。

关键词(KeyWords)： 影像检索;纹理特征;Gabor小波;竞争特征

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(61172174);; 教育部新世纪优秀人才基金项目(NCET-12-0426)

作者(Author): 周维勋,邵振峰,李从敏

DOI: 10.16251/j.cnki.1009-2307.2016.08.021

参考文献(References)：

• [1]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.
• [2]DATTA R,JOSHI D,LI J,et al.Image retrieval:ideas,influences,and trends of the new age[J].ACM Computing Surveys(CSUR),2008,40(2):5.
• [3]MANJUNATH B S,MA W Y.Texture features for browsing and retrieval of image data[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1996,18(8):837-842.
• [4]CHANG T,KUO C C.Texture analysis and classification with tree-structured wavelet transform[J].IEEE Transactions on Image Processing,1993:2(4):429-441.
• [5]HARALICK R M,SHANMUGAM K,DINSTEIN I H.Textural features for image classification[J].IEEE Transactions on Systems,Man and Cybernetics,1973,SMC-3(6):610-621.
• [6]OJALA T,PIETIKAINEN M,MAENPAA T.Multiresolution gray-scale and rotation invariant texture classification with local binary patterns[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(7):971-987.
• [7]TAMURA H,MORI S,YAMAWAKI T.Textural features corresponding to visual perception[J].IEEE Transactions on Systems,Man and Cybernetics,1978,8(6):460-473.
• [8]朱先强,黄金才,邵振峰,等.一种定义感兴趣局部显著特征的新方法及其在遥感影像检索中的应用[J].武汉大学学报:信息科学版,2013,38(6):652-655.
• [9]杨育彬,陈世福,林珲.一种基于颜色连通的图像纹理检索新方法[J].电子学报,2005,33(1):57-62.
• [10]刘宁钟,杨静宇.综合利用目标区域颜色纹理特征的彩色图像检索[J].计算机工程与应用,2003,39(32):187-203.
• [11]CHUN Y D,KIM N C,JANG I H.Content-based image retrieval using multiresolution color and texture features[J].IEEE Transactions on Multimedia,2008,10(6):1073-1084.
• [12]LIN C H,CHEN R T,CHAN Y K.A smart contentbased image retrieval system based on color and texture feature[J].Image and Vision Computing,2009,27(6):658-665.
• [13]宋艳,刘方爱.综合颜色与纹理的图像检索[J].计算机工程与设计,2007,28(17):4180-4182.
• [14]田小忱,杨东,杜春华.综合颜色和Contourlet直方图的图像检索方法[J].计算机工程,2010,36(1):224-226.
• [15]LIAPIS S,TZIRITAS G.Color and texture image retrieval using chromaticity histograms and wavelet frames[J].IEEE Transactions on Multimedia,2004,6(5):676-686.
• [16]YUE J,LI Z,LIU L,et al.Content-based image retrieval using color and texture fused features[J].Mathematical and Computer Modelling,2011,54(3):1121-1127.
• [17]JAIN A,HEALEY G.A multiscale representation including opponent color features for texture recognition[J].IEEE Transactions on Image Processing,1998,7(1):124-128.
• [18]SHI M,HEALEY G.Hyperspectral texture recognition using a multiscale opponent representation[J].IEEE Transactions on Geoscience and Remote Sensing,2003,41(5):1090-1095.
• [19]CHOI J Y,RO Y M,PLATANIOTIS K N.Color local texture features for color face recognition[J].IEEE Transactions on Image Processing,2012,21(3):1366-1380.
• [20]LIU C,WECHSLER H.Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition[J].IEEE Transactions on Image Processing,2002,11(4):467-476.
• [21]YANG Y,NEWSAM S.Geographic image retrieval using local invariant features[J].IEEE Transactions on Geoscience and Remote Sensing,2013,51(2):818-832.