一种基于区域弦分布的图象检索方法
摘要
图象是视觉信息的表现形式和存储载体。随着多媒体、计算机、通信技术及Internet的快速发展，图象的来源越来越来广泛，图象数据库成为组织、表达、存储、查询和利用这些海量图象数据的主要手段。图象数据库研究的一个核心问题是图象检索，其中，基于内容的图象检索技术(CBIR)是当前国内外研究的热点之一。
本文提出了一种基于区域弦分布的图象特征描述，并在此基础上进行了图象检索算法研究。论文的主要工作由图象特征描述和图象检索算法两部分组成。在图象特征描述部分，我们给出了区域弦的定义和区域弦分布的表示，分析了弦分布的性质，并在此基础上进行了图象特征描述。在图象检索算法部分，本文首先作了图象区域划分、区域弦分布的计算；其次对区域作了前景、背景分析并给出了图象间的相似性度量。最后，通过实验和和对实验结果的分析，证明本文研究所提出的方法是有效的。
本文研究成果对基于颜色的图象内容检索具有启发指导作用和实际应用价值。
Image is the form and the carrier of the visual information.The image source become more extensive along with the rapid development in multimedia technologies , computer science, communication engineering and Internet, in order to organize , describe, store , query and employ these vast image data, image database is one of main tools.The one core problem about image database is the technology of image retrieval, currently, the research of the content-based image retrieval have become one hot spot throughout the world.
In this paper,we propose the chord-distribution-based image description ,and research the image retrieval algorithm based on this description.The main work of the paper consists of two part that are the feature description about image and the algorithm of image retrieval.In the first part,we propose the definition of region-chord, the presentation of chord-distribution, and describle image after analyzing the properties of chord-distribution.In the second part,after partitioning image and counting region-chord-distribution,we analyse the forground and background of image to each region and propose the criterion of the similarity of images. Lastly,through experimenting and analyzing the results, it proved that our scheme be effective.
To our approach,It be revelatory to color-based image retrieval and be valuable in the application.
本文提出了一种基于区域弦分布的图象特征描述，并在此基础上进行了图象检索算法研究。论文的主要工作由图象特征描述和图象检索算法两部分组成。在图象特征描述部分，我们给出了区域弦的定义和区域弦分布的表示，分析了弦分布的性质，并在此基础上进行了图象特征描述。在图象检索算法部分，本文首先作了图象区域划分、区域弦分布的计算；其次对区域作了前景、背景分析并给出了图象间的相似性度量。最后，通过实验和和对实验结果的分析，证明本文研究所提出的方法是有效的。
本文研究成果对基于颜色的图象内容检索具有启发指导作用和实际应用价值。
Image is the form and the carrier of the visual information.The image source become more extensive along with the rapid development in multimedia technologies , computer science, communication engineering and Internet, in order to organize , describe, store , query and employ these vast image data, image database is one of main tools.The one core problem about image database is the technology of image retrieval, currently, the research of the content-based image retrieval have become one hot spot throughout the world.
In this paper,we propose the chord-distribution-based image description ,and research the image retrieval algorithm based on this description.The main work of the paper consists of two part that are the feature description about image and the algorithm of image retrieval.In the first part,we propose the definition of region-chord, the presentation of chord-distribution, and describle image after analyzing the properties of chord-distribution.In the second part,after partitioning image and counting region-chord-distribution,we analyse the forground and background of image to each region and propose the criterion of the similarity of images. Lastly,through experimenting and analyzing the results, it proved that our scheme be effective.
To our approach,It be revelatory to color-based image retrieval and be valuable in the application.
引文
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[Simons Santini, 2000]. (Department of Electrial and Computer Engineering University of California). Distance Preservation in Color Image Transforms. SPIE(2000) Vol. 3972.0277-786x.
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[Ahmed R.Appas, Ahmed M.Darwish, et al, 1998].Image Indexing Using Composite Regional Color Channels Features.SPIE (1998) Vol.3656.
[Aibing Rao, Rohini K.Srihari, Zhongfei Zhang, 2000]Geometric Histogram: A Distrubution of Geometric Configurations of Color Subsets, SPIE (2000) Vol.3964.0277-786x.
[Aibing Rao,Srihari,R.K,Zhongfei Zhang, 1999]Spatial Color Histogram for Contented-Based Retrieval.Tools with Artificial Intelligence,1999.Proceeding 11th IEEE International Coference on.1999,p183.
[Aibing Ran, Srihari, R.K, Zhongfei Zhang]Spatial Color Histogram for Contented-Based Retrieval. Tools with Artificial Intelligence, 1999. Proceeding 11th IEEE International Coference on.1999, p183.
[Alexandru Vasile, Walter Bender, 2001]Image Query Based on Color Harmony.SPIE (2001) Vol.4299.
[Anil K.Jain, Vailaya, 1996]Image Retrieval Using Color and Shape. Pattern Recognition, 1996, 29(8).
[B.M.Mehtre, M.S.Kankanhalli,1995]Color Matching for Image Retrieval. Pattern Recognition Lett, 1995, 16.
[Berna Erol,Faouzi Kossentini,2000]Color Content Matching of MPEG-4 Video Objeets.Email:{bernae,faouzi}@ece.ubc.ca.
[Bertrand Chupeau, Ronan Forest, 2001]An Evaluation of the Effectiveness of Color Atrributes for Video Indexing. SPIE (2001) Vol. 4315.
[Brian V. Funt, Graham D. Finlayson, 1995]Color Constant Color Indexing. IEEE Trans on PAMI. 1995, 17(5).
[Chia Yeow Yee, Kian-Lee Tan, et al]An Empirical Study of Color-Spatial Retrieval Techniques for Large Image Databases.
[Chiou-Ting Hsu, Ya-Ting Wu, et al, 2001]Contented-based Image Retieval by Feature Point Matching, SPIE (2001) 4315.
[Christopher, G.Healay, James T.Enns]. A Perceptual Color Segmentation Algorithm.
[Colin c. Venters,Richard J.Hartley et al 2000]Query by Visual Example:assessing the usability of content-based image retrieval system user interfaces.
[Constantin Vertan, Nozha Boujemaa].Upgrading Color Distribution for Image Retrieval: Can We Do Better?.
[Corlo Colombo, Alberto Del Bimbo 1999]Color-Induced Image Representation and Retrieval. Pattern Recognition, 1999 (32).
[Damian Conway]An Experimental Comparison of Three Natural Language Colour Naming Models, Email:damian@cs.monash.edu.au
[Dean S.M.essing, Peter J.L.van Beek, et al, 2001].The MPEG-7 Colour Structure Descriptor: Image Description Using Colour and Local Spatial Information, 2001 IEEE.
[Fang Qian,Lei Zhang,et al, 1999]FBCC: An Image Similarity Algorithm Based on Regions.
[G.Ciocca, I.Gagliardi, R.Schettini, 2001]Quicklook2: An Integrated Multimedia System with Learning Capahility.SPIE vol.4315(2001).
[G.Qiu, 2000]Content-Based Retrieval on the Compressed Domain of 2nd Generation Image Coding, LNCS, 2000.
[Gianluigi Ciocca, Daniele Marini, Alessandro Rizzi, Raimondo Schettini, et al, 2001]. On Pre-filtering with Retinex in Color Image Retrieval. SPIE (2001) Vol.4311.
[Giridharan Iyengar Andrew B.Lippman,1999]Video and Image Clustering using Relative Entropy.SPIE 3656.
[Graham D.Finlayson, Subho S.Chatterjee, Brian V.Funt]Color Angular Indexing.
[Guang-Ho Cha, Chin-Wan Chung, 1998]Multi-Mode Indices for Effective Image Retrieval in Multimedia Systems, 1998 IEEE.
[H. Wang, F. Guo, D. D. Feng,1998]A Signature for Content-based Image Retrieval Using a Geometrical Transform, ACM Multimedia 98-Electronic Proceedings.
[Hening Müller, David McG.Aquire, et al]Efficient Access Methods for Contented-Based Image Retrieval with Inverted Files.
[Huang J., 1997]Image Indexing Using Color Correlograms. IEEE Computer Society, 1997, p762-768.
[J.Bhalod, G.F.Fahamy, S.Panchanathan, 2001]Region Based Indexing in the JPEG2000 Framework, SPIE (2001) Vol.4915.
[Jamshid Shanbehzadeh, Amir Masud Eftekhari Moghadam, et al]Image Indeixng and Retrieval Techniques:past, prensent, and Next, SPIE Vol.3972.
[Jan Morovic, Julian Shaw, Pei-Li Sun.A Fast, 2002]non-iterative and exact histogram matching algorithm. Pattern Recognition Letters, 2002, 23, p127-135.
[John R.Simith, Shih Fu Chang].Tools and Techniques for Color Image Retrieval.IS&T/SPIE Proceedings Vol.2670.
[Jun Shen, Wei Shen, 1998]Comparison Study of Geometric and Orthogonal Moments, SPIE
(1998) Vol.3522.
[K.Idrissi, J.Ricard, et al]An Image Retrieval System Based on Local and Global Color Descriptors.
[Kap Luk Chan et al, 2001]Content-Based Image Retrieval Using Regional Representation LNCS 2032+A39, pp.238-250, 2001.
[Lei Zhu, Chun Tang, Aidong Zhang]. Using Keyblock Statistic to Model Image Retrieval.
[M. Stricker, A. Dimai, 1996]Color Indexing With Weak Spatial Constraints. SPIE Proceedings 2670 (1996), p29-40.
[M. Stricker, M.Orengo]Similarity of Color Images.SPIE Storage and Retrieval for Image and video Databases Ⅲ, Vol.2185, pp.337-392, Feb.1995.
[M.J.Swain, D.H.Ballard, 1991].Color Indexing, int.J.Computer Vision, 1991, 7(1).
[Manuel Grana, Israel Rebollo, 2000].Image indexing Based on Vector Quantization.SPIE Vol.4210 (2000), 0277-786X.
[Markus Stricker, Markus Orengo, 1995].Similarity of Color Image.SPIE (1995), San Jose.
[Nagul Cooharojananone, Kiyoharu Aizawa, 2001]A New Simility Measure for Color Image Indexing.SPIE Vol.4315 (2001). 0277-786x.
[Neil.F.Day, 2001]MPEG-7 Industry Focus Group. MPEG-7 Applications for Managing Content. SPIE (2001) Vol. 4518.
[Noburou Taniguchi, Masashi Yamamuro, 1999]Multiple Inverted Array Structure for Similar Image Retrieval.
[O.Huseyin, T.chen H.R.Wu, 2001]Performance Evaluation of Multiple Regions-of-Interest Query for Accessing Image Databases.
[Pass G., R.Zabih, J.Miller, 1996].Compareing Images Using Color Coherence Vectors.Proc.Fourth ACM Multimedia Conference.
[Qiang Zhou, Mehmet Celenk, 2001].Color——invariant shape moments for object recognition.SPIE Vol.4304 (2001), 0277-786x.
[Raimondo SCHETTINI, Gianluigi CIOCCA, et al].A Survey of Methods for Colour Image Indexing and Retrieval in Image Databases.
[Richard J.Qian, Peter J.L.van Beek, et al, 2001].Image Retrieval Using Blob Histogram, 2001 IEEE.
[Shyhwei Teng, GuoJun Lu]An Evaluation of Robustness of Image Retrieval Based on Vector Quantization.
[Simone Santini, 1999]Similarity Measures.PAMI, 1999, 21(9).
[Simons Santini, 2000]. (Department of Electrial and Computer Engineering University of California). Distance Preservation in Color Image Transforms. SPIE(2000) Vol. 3972.0277-786x.
[Stefano Berreti, Alberto Del Bimbo, et al, 2001]Efficient Matching and Indexing of Graph Models in Content-based Retrieval, PAMI, 2001, 23(10).
[T.Meiers, H.Czernoch-Peters, L.Ihlenburg, T.Sikora, 2000]Image Visualization Based on MPEG-7 Color Descriptors. SPIE (2000) Vol. 4067.
[Tat Seng Chua, Kian-Lee Tan,Beng Chin Ooi]Fast Signature-Based Color-Spatial Image Retrieval.
[Thomas S Huang,Yong Rui,et al, 1997]Image Retrieval: Current Techniques,Promising Directions and Open Issues.Proc. of Int. Symposium on Multimedia Information Proccessing,Dec.
[Wladystaw Skarbek, Andreas Koschan, 1994]Color Image Segmentation---A Survey, p1-11.
[Xia Wan,Zijun Yang,1998]Efficient Interactive Image Retrieval With Multiple Seed Images.SPIE vol.3527.
[YiHong Gong, Chua Hock-Chuan, et al]Image Indexing and Retrieval Based on Colour Histogram.
[Yining Deng, et al, 2001]An Efficient Color Representation for Image Retrieval, 2001 IEEE.
[Yossi Rubner, Carlo Tomasi, Leonidas J, 1998]Guibas. A Metric for Distribution With Applications to Image Dstabases.Processings of 1998 IEEE International Conference on Computer Vision.
[Youssef CHAHIR, Liming CHEN, 1997]Peano Key Rediscovery for Content Based Retrieval of Images. SPIE (1997) Vol.3229.
[Yung-Kuan Chan, Chin-Chen Chang, 2000]Image Matching Using Run-Length Feature. Email:ccc@cs.ccu.edu.tw,FAX:856-5-2720859.
[Zhong Jin,Irwin King,et al,2000]Content-Based Image Retrieval by Relevance Feedback.Email: jinzhong@mail.njust.edu.cn.
[丁险峰，吴洪等，2001]形状匹配综述．自动化学报，2001，27(5)．
[郭丽，孙兴华等 2002]距离分布直方图及其在商标图案检索中的应用．中国图象图形学报，2002，7．
[洪安祥，陈刚等]基于图象直方图混合度量匹配的图象的检索．
[李向阳，庄挺越，潘云鹤，2001]．基于内容的图象检索技术与系统，计算机研究与发展，2001，38(3)．
[A．罗申菲尔特，A．C 卡克，1998]数字图象处理．人民邮电出版社，1982年9月．
[商立群，杜亚娟，2000]Hu矩和Zernike矩在图象识别中的应用，西安科技学院学报，2000，20(3)
[唐立军，段立娟，高文，2001]基于内容的图象检索系统，计算机应用研究，2001，7．
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