小波纹理与颜色直方图相结合的图像检索技术
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摘要
基于内容的图像检索(CBIR)是图像处理领域的一个研究热点。该技术的主要目的是为了客观的查找到用户所要查找的图像。在商业领域和科研领域对基于内容的图像检索都有广泛的研究。其中的关键是图像中的特征提取,特征数据提取的准确与否,直接会影响到图像检索的准确程度。
论文主要对小波纹理和颜色直方图相结合的图像检索算法作了深入研究,主要研究成果如下：
1.研究了融合Gabor变换和颜色直方图的图像检索算法,分析了此算法在图像检索系统中提取图像的纹理特征和颜色特征的应用,并对此算法进行了MATLAB仿真。
2.研究了Curvelet变换提取图像纹理特征的方法,在此基础上,提出了一种融合Curvelet变换和颜色直方图的图像检索算法,并对Curvelet变换和融合Curvelet变换和颜色直方图的算法进行了MATLAB仿真,对融合Curvelet变换和颜色直方图的算法与融合Gabor变换和颜色直方图的算法性能作了分析比较。仿真结果表明,在相同的仿真条件下,融合Curvelet变换和颜色直方图的算法的查准率更高一些。
3.对图像检索系统的各个模块进行了设计,使用VC++和MSSQL数据库完成了基于内容的图像检索系统的实现。
Content-based image retrieval is a very active research area in digital image processing, whose purpose is to find out the user required image objectively. CBIR is extensively researched in commercial fields and research areas. The key technology of CBIR is to extract the image's feature data, which has a direct effort on the preciseness of the image retrieval method.
The image retrieval algorithm which combine wavelet texture feature and color histogram is deeply studied in this paper. And the main achievements of this thesis are as follows:
1. The retrieval algorithm based on Gabor transform and corlor histogram is researched, and analysis the application of this algorithm in CBIR. Then the retrieval algorithm is simulated with MATLAB.
2. The applications of the curvelet transform is studied in CBIR to extract texture feature. Based on the curvelet transform, a novel image retrieval algorithm based on curvelet teansform and color histogram is proposed. And the algorithm is simulated with MATLAB. Compared the differences between the proposed method with the method based on Gabor teansform and color histogram, the simulation results show that the new algorithm has better precision.
3. Completed a Content-based image retrieval system and designed each modules with VC++ and MSSQL.
论文主要对小波纹理和颜色直方图相结合的图像检索算法作了深入研究,主要研究成果如下：
1.研究了融合Gabor变换和颜色直方图的图像检索算法,分析了此算法在图像检索系统中提取图像的纹理特征和颜色特征的应用,并对此算法进行了MATLAB仿真。
2.研究了Curvelet变换提取图像纹理特征的方法,在此基础上,提出了一种融合Curvelet变换和颜色直方图的图像检索算法,并对Curvelet变换和融合Curvelet变换和颜色直方图的算法进行了MATLAB仿真,对融合Curvelet变换和颜色直方图的算法与融合Gabor变换和颜色直方图的算法性能作了分析比较。仿真结果表明,在相同的仿真条件下,融合Curvelet变换和颜色直方图的算法的查准率更高一些。
3.对图像检索系统的各个模块进行了设计,使用VC++和MSSQL数据库完成了基于内容的图像检索系统的实现。
Content-based image retrieval is a very active research area in digital image processing, whose purpose is to find out the user required image objectively. CBIR is extensively researched in commercial fields and research areas. The key technology of CBIR is to extract the image's feature data, which has a direct effort on the preciseness of the image retrieval method.
The image retrieval algorithm which combine wavelet texture feature and color histogram is deeply studied in this paper. And the main achievements of this thesis are as follows:
1. The retrieval algorithm based on Gabor transform and corlor histogram is researched, and analysis the application of this algorithm in CBIR. Then the retrieval algorithm is simulated with MATLAB.
2. The applications of the curvelet transform is studied in CBIR to extract texture feature. Based on the curvelet transform, a novel image retrieval algorithm based on curvelet teansform and color histogram is proposed. And the algorithm is simulated with MATLAB. Compared the differences between the proposed method with the method based on Gabor teansform and color histogram, the simulation results show that the new algorithm has better precision.
3. Completed a Content-based image retrieval system and designed each modules with VC++ and MSSQL.
引文
[1]Yong Rui and Thomas S.Huang. Image Retrieval:Current Techniques, Promising Directions, and Open Issues[J]. Journal of Visual Communication and Image Represention.1999,10:39-62
[2]Flickner.M.. Query by Image and Video Content:The QBIC System[J]. IEEE Computer, 1995
[3]Virage公司.http://www. virage. com
[4]Excalibur技术公司.http：／／vrw.excalib.com
[5]Pentland.A., Pioard.R.W., Solaroff.S. Photobook:Content-based Manipalation of Image Database[J]. Internal Jomurnal of Computer,1996:34-47
[6]VisualSEEK. http://www.ctr.columbia.edu/VisualSEEK/
[7]白雪生,廖春元,徐光佑等.一个基于内容的图像检索系统[A].第七届全国多媒体技术学术年会／NCMT'98,1998
[8]熊华,老松杨,吴玲琦.NewsVideoCAR：一种基于内容的视频新闻节目浏览检索系统[J].计算机工程,2000,26(11)：73-75
[9]周明全,耿国华,韦娜.基于内容图像检索技术[M].清华大学出版社,2007,2：3
[10]Swin Michael. J., Ballard Dana H. Color Indexing[J]. International Journal of Computer Vision.1991,7(1):11-32
[11]Markus Stricker, Markus Orengo. Simlary of Color Image. In Proc of SPIE Storage and Retrieval for Image and Video Databases,1995,24(20):381-392.
[12]Smith J.R., Chang S. F.. Single color extraction and image query. IEEE, Int. Conf. on Image Proc.,1995
[13]Pass G., Zabin R., Miller J.. Comparing Images Using Color Coherence Vectors[C]. In ACM International Conference on Multimedia.Boston, MA,1996:65-73
[14]Huang J.. Color-Spatial Image Indexing and Appliations. Phd thesis, Cornell University, New York, USA,1998
[15]Rao A., Srihari R., Zhang Z.. Spatial Color Histogram for Cotent-Based Retrieval[C]. Inllth IEEE International Coference On Tools with AI,1999:183-186
[16]Cinque L., Levialdi S., Olsen K.. Color-based image retrieval using spatial-chromatic
histograms[C]. In Multimedia Computing and System, IEEE, Int. Conf.,969-973
[17]Lim S., Lu G.J.,Spatial statistics for content based image retrieval, Proceedings. ITCC 2003,Information Technology:Coding and Computing[Computers and Communication], California, IEEE Computer Society,2003:28-30
[18]韩轩.基于颜色和空间特征的图像检索技术研究[D].厦门：厦门大学,2008
[19]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,2009,29(4)：1018-1021
[20]Tamura H., Mori s., Yamawaki T.. Texture Feature Corresponding to Visual Proception[J]. IEEE Trans, on Sys. Man. And Cyb. SMC1978,8(6):460-473
[21]安志勇,崔江涛,曾智勇等.基于Radon和小波变换的图像检索[J].红外与毫米波学报,2008,27(2)：147-151
[22]李钰,孟祥萍.基于Gabor滤波器的图像纹理特征提取[N].长春工业大学学报,2008,29(1)：41-43
[23]Candes Emmanuel J. and Donoho David L. Contious Curvelet Transform:I. Resolution of Wavefront Set[EB/OL]. http://www.acm.caltech.edu/-emmanuel/publication.html.2003:1-29
[24]Candes Emmanual J., Donoho David L.. Contious Curvelet Transform:II. Discretization and Frames [EB/OL]. http://www.acm.caltech.edu/-emmanuel/publication.html.2003:1-22
[25]王大凯,彭进业.小波分析及其在信号处理中的应用[M].电子工业出版社,2005：19-20
[26]张李秋.一种基于纹理特征提取的图像检索方法[D].重庆：电子科技大学,2007,4
[27]吴娅辉,王成儒,顾广华.一种基于Log Gabor的旋转不变纹理图像检索算法[J],光学技术,2006,32(1)：92-95
[28]王汇源.基于线性子空间及环形对称Gabor变换的人脸识别算法研究[D].山东：山东大学,2007,3
[29]丁宏波.基于颜色和纹理的图像检索系统的研究与实现[D].北京：北京交通大学,2008
[30]Wu Kaixing, Xu Qiang. Image Retrieval Based on Fuzzy Color Histogram[C]. International Conference on Intelligent Information Hiding and Multimedia Signal
Processing,2008:75-78
[31]Chen Haishan, Han Xuan, HuBochao. An Image Retrieval Method Based on Spatial Feature of Colors[C]. International Symposium on Computer Science and Computatio-nal Technology,2008:284-287
[32]章毓晋.图像处理和分析[M].清华大学出版社,2003：19
[33]Candes.E.J., Demanet L., Donoho D.L. et al. Fast Discrete Curvelet Transforms[EB/OL]. http://www.acm.caltech.edu/-emmanuel/publication.html.2005:1-43
[34]Young Deok Chun, Nam Chul Kim, Ick Hoon Jook. Content-Based Image Retrieval Using Multiresolution Color and Texture Feature. IEEE, Transaction on Multimedia, 2008,10(6):1073-1084
[35]孙即祥.图像处理[M].科学出版社,2005：50-51
[36]Zeng Zhiyong, Zhou Lihua. A novel region-based image retrieval technique using special color distribution feature[J]. IEEE, ASPX,2008
[37]安志勇,杜志强,赵珊等.基于颜色和空间特征的图像检索[J].红外技术,2007,29(6)：361-364
[38]Huang Baigang, Li Junshan, Hu Shuangyan. Texture Feature Extraction Using ICA Filters[C]. Pressings of the 7th World Congress on Intelligent Control and Automation Chong, China,2008,7:25-28
[39]Zhang Gang, Ma Z.M, He Ying et al. Texture Characteristic Extraction for Dominant Direction in Content-based Medical Image Retrieval[C]. International Conference on BioMedical Engineering and Informatics,2008:253-257
[40]王大凯等.图像处理的偏微分方程方法[M].科学出版社,2008
[41]Xu Xiangli, Zhang Libiao, Liu Xiangdong et al. Image Retireval Using Multi-Granular-rity Feature of Color and Texture[C]. Fifth International Conference on Fuzzy System and Knowledge Discovery,2008:54-58
[42]冯象初,甘小冰,宋国乡.数值泛函与小波理论[M]。西安电子科技大学,2003：2
[43]傅蓉,许宏丽.基于小波多尺度分析的彩色图像检索方法[J].中国图像图形学报,2004,9(11)：1326-1330
[44]潘泓,夏良正.具有平移、尺度和旋转不变性的小波变换[J].信号处理,2004,
20(2)：147-151
[45]冈萨雷斯.数字图像处理[M].电子工业出版社,2007：276
[46]Yu Ping, Zhang Cheng, Du Chunhua. Image Retrievals Based on Color and Texture Feature. IEEE,2007
[47]窦建军,文俊,刘重庆.基于颜色直方图的图像检索技术[J].红外与激光工程,2005,34(1)：84-88
[48]张磊.基于内容的图像检索研究及其系统实现[D].厦门：厦门大学,2007,5
[49]曾智勇,张学军,崔江涛等.基于显著兴趣点颜色及空间分布的图像检索新算法[J].光子学报,2006,35(2)：308-311
[50]朱为,李国辉,涂丹.一种基于第2代曲波变换的尺度相关图像去噪方法[J].中国图像图形学报,2008,13(12)：2281-2285
[51]方高球,王正勇,吴晓红.基于快速离散曲波变换的图像去噪算法[J].计算机应用,2008,28(12)：3138-3140
[52]彭胜龙,吴芳平.基于Curvelet变换的图像自适应增强[J].光学仪器,2007,29(5)：40-44
[53]满旺,张杰林,郑海龙等.基于曲波变换的图像融合研究[J].微计算机信息,2008,24(63)：228-229
[54]Sumana Ishrat Jahan, Islam Md.Monirul, Zhang Dengsheng et al. Content Based Image Retrieval Using Curvelet Transform[C]. IEEE, MMSP,2008:11-16
[55]Candes Emmanuel J. and Donoho David L.Curvelet-A Surprisingly Effective Non-ada-ptive Respresentation For Objects with Edge[C]. Vanderbilt University Press,2000: 105-120
[56]宋英姿.第二代Curvelet变换及其在图像融合中的应用研究[D].南京：河海大学,2007
[57]隆刚,肖磊,陈学佺.Curvelet变换在图像处理中的应用综述[J].计算机研究与发展,2005,42(8)：1331-1337
[58]杨华莉.基于CURVELET变换的人脸检测[D].成都：西南交通大学,2007
[59]郭文平,王跃存,杨晓光.Visual C++基础教程[M].西安电子科技大学出版社,2006
[60]求是科技.Visual C++数据库模块及典型系统开发[M].人民邮电出版社,2006
[61]蔡炳煌.基于曲波分析的图像处理与应用[D].广东：汕头大学,2007
[2]Flickner.M.. Query by Image and Video Content:The QBIC System[J]. IEEE Computer, 1995
[3]Virage公司.http://www. virage. com
[4]Excalibur技术公司.http：／／vrw.excalib.com
[5]Pentland.A., Pioard.R.W., Solaroff.S. Photobook:Content-based Manipalation of Image Database[J]. Internal Jomurnal of Computer,1996:34-47
[6]VisualSEEK. http://www.ctr.columbia.edu/VisualSEEK/
[7]白雪生,廖春元,徐光佑等.一个基于内容的图像检索系统[A].第七届全国多媒体技术学术年会／NCMT'98,1998
[8]熊华,老松杨,吴玲琦.NewsVideoCAR：一种基于内容的视频新闻节目浏览检索系统[J].计算机工程,2000,26(11)：73-75
[9]周明全,耿国华,韦娜.基于内容图像检索技术[M].清华大学出版社,2007,2：3
[10]Swin Michael. J., Ballard Dana H. Color Indexing[J]. International Journal of Computer Vision.1991,7(1):11-32
[11]Markus Stricker, Markus Orengo. Simlary of Color Image. In Proc of SPIE Storage and Retrieval for Image and Video Databases,1995,24(20):381-392.
[12]Smith J.R., Chang S. F.. Single color extraction and image query. IEEE, Int. Conf. on Image Proc.,1995
[13]Pass G., Zabin R., Miller J.. Comparing Images Using Color Coherence Vectors[C]. In ACM International Conference on Multimedia.Boston, MA,1996:65-73
[14]Huang J.. Color-Spatial Image Indexing and Appliations. Phd thesis, Cornell University, New York, USA,1998
[15]Rao A., Srihari R., Zhang Z.. Spatial Color Histogram for Cotent-Based Retrieval[C]. Inllth IEEE International Coference On Tools with AI,1999:183-186
[16]Cinque L., Levialdi S., Olsen K.. Color-based image retrieval using spatial-chromatic
histograms[C]. In Multimedia Computing and System, IEEE, Int. Conf.,969-973
[17]Lim S., Lu G.J.,Spatial statistics for content based image retrieval, Proceedings. ITCC 2003,Information Technology:Coding and Computing[Computers and Communication], California, IEEE Computer Society,2003:28-30
[18]韩轩.基于颜色和空间特征的图像检索技术研究[D].厦门：厦门大学,2008
[19]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,2009,29(4)：1018-1021
[20]Tamura H., Mori s., Yamawaki T.. Texture Feature Corresponding to Visual Proception[J]. IEEE Trans, on Sys. Man. And Cyb. SMC1978,8(6):460-473
[21]安志勇,崔江涛,曾智勇等.基于Radon和小波变换的图像检索[J].红外与毫米波学报,2008,27(2)：147-151
[22]李钰,孟祥萍.基于Gabor滤波器的图像纹理特征提取[N].长春工业大学学报,2008,29(1)：41-43
[23]Candes Emmanuel J. and Donoho David L. Contious Curvelet Transform:I. Resolution of Wavefront Set[EB/OL]. http://www.acm.caltech.edu/-emmanuel/publication.html.2003:1-29
[24]Candes Emmanual J., Donoho David L.. Contious Curvelet Transform:II. Discretization and Frames [EB/OL]. http://www.acm.caltech.edu/-emmanuel/publication.html.2003:1-22
[25]王大凯,彭进业.小波分析及其在信号处理中的应用[M].电子工业出版社,2005：19-20
[26]张李秋.一种基于纹理特征提取的图像检索方法[D].重庆：电子科技大学,2007,4
[27]吴娅辉,王成儒,顾广华.一种基于Log Gabor的旋转不变纹理图像检索算法[J],光学技术,2006,32(1)：92-95
[28]王汇源.基于线性子空间及环形对称Gabor变换的人脸识别算法研究[D].山东：山东大学,2007,3
[29]丁宏波.基于颜色和纹理的图像检索系统的研究与实现[D].北京：北京交通大学,2008
[30]Wu Kaixing, Xu Qiang. Image Retrieval Based on Fuzzy Color Histogram[C]. International Conference on Intelligent Information Hiding and Multimedia Signal
Processing,2008:75-78
[31]Chen Haishan, Han Xuan, HuBochao. An Image Retrieval Method Based on Spatial Feature of Colors[C]. International Symposium on Computer Science and Computatio-nal Technology,2008:284-287
[32]章毓晋.图像处理和分析[M].清华大学出版社,2003：19
[33]Candes.E.J., Demanet L., Donoho D.L. et al. Fast Discrete Curvelet Transforms[EB/OL]. http://www.acm.caltech.edu/-emmanuel/publication.html.2005:1-43
[34]Young Deok Chun, Nam Chul Kim, Ick Hoon Jook. Content-Based Image Retrieval Using Multiresolution Color and Texture Feature. IEEE, Transaction on Multimedia, 2008,10(6):1073-1084
[35]孙即祥.图像处理[M].科学出版社,2005：50-51
[36]Zeng Zhiyong, Zhou Lihua. A novel region-based image retrieval technique using special color distribution feature[J]. IEEE, ASPX,2008
[37]安志勇,杜志强,赵珊等.基于颜色和空间特征的图像检索[J].红外技术,2007,29(6)：361-364
[38]Huang Baigang, Li Junshan, Hu Shuangyan. Texture Feature Extraction Using ICA Filters[C]. Pressings of the 7th World Congress on Intelligent Control and Automation Chong, China,2008,7:25-28
[39]Zhang Gang, Ma Z.M, He Ying et al. Texture Characteristic Extraction for Dominant Direction in Content-based Medical Image Retrieval[C]. International Conference on BioMedical Engineering and Informatics,2008:253-257
[40]王大凯等.图像处理的偏微分方程方法[M].科学出版社,2008
[41]Xu Xiangli, Zhang Libiao, Liu Xiangdong et al. Image Retireval Using Multi-Granular-rity Feature of Color and Texture[C]. Fifth International Conference on Fuzzy System and Knowledge Discovery,2008:54-58
[42]冯象初,甘小冰,宋国乡.数值泛函与小波理论[M]。西安电子科技大学,2003：2
[43]傅蓉,许宏丽.基于小波多尺度分析的彩色图像检索方法[J].中国图像图形学报,2004,9(11)：1326-1330
[44]潘泓,夏良正.具有平移、尺度和旋转不变性的小波变换[J].信号处理,2004,
20(2)：147-151
[45]冈萨雷斯.数字图像处理[M].电子工业出版社,2007：276
[46]Yu Ping, Zhang Cheng, Du Chunhua. Image Retrievals Based on Color and Texture Feature. IEEE,2007
[47]窦建军,文俊,刘重庆.基于颜色直方图的图像检索技术[J].红外与激光工程,2005,34(1)：84-88
[48]张磊.基于内容的图像检索研究及其系统实现[D].厦门：厦门大学,2007,5
[49]曾智勇,张学军,崔江涛等.基于显著兴趣点颜色及空间分布的图像检索新算法[J].光子学报,2006,35(2)：308-311
[50]朱为,李国辉,涂丹.一种基于第2代曲波变换的尺度相关图像去噪方法[J].中国图像图形学报,2008,13(12)：2281-2285
[51]方高球,王正勇,吴晓红.基于快速离散曲波变换的图像去噪算法[J].计算机应用,2008,28(12)：3138-3140
[52]彭胜龙,吴芳平.基于Curvelet变换的图像自适应增强[J].光学仪器,2007,29(5)：40-44
[53]满旺,张杰林,郑海龙等.基于曲波变换的图像融合研究[J].微计算机信息,2008,24(63)：228-229
[54]Sumana Ishrat Jahan, Islam Md.Monirul, Zhang Dengsheng et al. Content Based Image Retrieval Using Curvelet Transform[C]. IEEE, MMSP,2008:11-16
[55]Candes Emmanuel J. and Donoho David L.Curvelet-A Surprisingly Effective Non-ada-ptive Respresentation For Objects with Edge[C]. Vanderbilt University Press,2000: 105-120
[56]宋英姿.第二代Curvelet变换及其在图像融合中的应用研究[D].南京：河海大学,2007
[57]隆刚,肖磊,陈学佺.Curvelet变换在图像处理中的应用综述[J].计算机研究与发展,2005,42(8)：1331-1337
[58]杨华莉.基于CURVELET变换的人脸检测[D].成都：西南交通大学,2007
[59]郭文平,王跃存,杨晓光.Visual C++基础教程[M].西安电子科技大学出版社,2006
[60]求是科技.Visual C++数据库模块及典型系统开发[M].人民邮电出版社,2006
[61]蔡炳煌.基于曲波分析的图像处理与应用[D].广东：汕头大学,2007