基于内容的意匠图库检索系统
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摘要
基于内容的图像检索技术是利用计算机图像处理和数据库管理系统，把图像的可视特征作为数据库检索的依据，对图像数据库进行近似检索。基于内容的图像检索技术在国内外已有较长时间研究，出现了相当多的成果，各种检索方法也陆续出现，其性能已接近达到实际应用水平。
意匠图指的是纺织工业中所用的一种花样文件，它是由纺织工艺人员通过特定的纺织CAD软件设计出来的。本文针对意匠图的特点，和图像检索的发展现状，以及生产中的实际需要，提出基于形状的意匠检索系统的设计方案：结合实验室和个人现有的研究水平，进行实际研究和开发，取得了一定的成果，并在结尾指出方案中存在的问题和我们将来的工作。
本文比较了三种比较常见的基于内容的图像检索技术，结合本项目的实际需要，提出了基于形状特征的图像检索方案。论文深入探讨了基于形状特征的图像检索技术，分析了图像边缘的特点，研究了各种边缘检测的方法，并给出了多种边缘检测的结果。论文还研究了图像的相似度匹配算法，并给出了意匠图案通过边缘检测后得出的Hu不变矩的结果。
在文章最后，介绍了本项目的实现方法和几个编程技术要点，并给出了程序的框架，同时展示了程序的操作界面。本程序已经在客户那里得到实际应用，并得到了良好的评价。
融合当前图像检索的最新技术和纺织工艺特征，开发一个新型实用的意匠检索系统，是论文的创新之处。
Based on Image Processing and Database Management System, Content Based Image Retrieval (CBIR) is employed to obtain approximate results from image database, using the visual feature of images. It has been several years for researching in CBIR round all over the world. Many techniques have been achieved and some retrieval methods have emerged. Most of functions are approaching the real application level.
Artistic Conception Drawing used in weave industry is a kind of design files; it is designed by the weaving technology person using the special CAD software. In this paper the design scheme of Shape-Based Image Retrieval is firstly suggested along with specific of Artistic Conception Drawing. Combined with latest techniques of CBIR and needs in industrial production, works has been done at our research level. And experiment results indicate the existing problems and future works.
In this paper three familiar scheme of CBIR are compared and the design scheme of Shape-Based Image Retrieval (SBIR) is suggested along with the factual need of my item. The technology of SBIR were carefully studied, and the characteristics of image edge were analyzed. Also researches on several edge detection arithmetic show the results of Hu moment invariants.
At last this paper introduces the work of this item and several points about programming, shows the frame and operation interface of this program .This program has been used by consumers and obtained fine appraisement.
Syncretizing the last technique of CBIR and the feature of fabric and developing a new practicable Artistic Conception Drawing retrieval system are the innovation of this paper.
意匠图指的是纺织工业中所用的一种花样文件，它是由纺织工艺人员通过特定的纺织CAD软件设计出来的。本文针对意匠图的特点，和图像检索的发展现状，以及生产中的实际需要，提出基于形状的意匠检索系统的设计方案：结合实验室和个人现有的研究水平，进行实际研究和开发，取得了一定的成果，并在结尾指出方案中存在的问题和我们将来的工作。
本文比较了三种比较常见的基于内容的图像检索技术，结合本项目的实际需要，提出了基于形状特征的图像检索方案。论文深入探讨了基于形状特征的图像检索技术，分析了图像边缘的特点，研究了各种边缘检测的方法，并给出了多种边缘检测的结果。论文还研究了图像的相似度匹配算法，并给出了意匠图案通过边缘检测后得出的Hu不变矩的结果。
在文章最后，介绍了本项目的实现方法和几个编程技术要点，并给出了程序的框架，同时展示了程序的操作界面。本程序已经在客户那里得到实际应用，并得到了良好的评价。
融合当前图像检索的最新技术和纺织工艺特征，开发一个新型实用的意匠检索系统，是论文的创新之处。
Based on Image Processing and Database Management System, Content Based Image Retrieval (CBIR) is employed to obtain approximate results from image database, using the visual feature of images. It has been several years for researching in CBIR round all over the world. Many techniques have been achieved and some retrieval methods have emerged. Most of functions are approaching the real application level.
Artistic Conception Drawing used in weave industry is a kind of design files; it is designed by the weaving technology person using the special CAD software. In this paper the design scheme of Shape-Based Image Retrieval is firstly suggested along with specific of Artistic Conception Drawing. Combined with latest techniques of CBIR and needs in industrial production, works has been done at our research level. And experiment results indicate the existing problems and future works.
In this paper three familiar scheme of CBIR are compared and the design scheme of Shape-Based Image Retrieval (SBIR) is suggested along with the factual need of my item. The technology of SBIR were carefully studied, and the characteristics of image edge were analyzed. Also researches on several edge detection arithmetic show the results of Hu moment invariants.
At last this paper introduces the work of this item and several points about programming, shows the frame and operation interface of this program .This program has been used by consumers and obtained fine appraisement.
Syncretizing the last technique of CBIR and the feature of fabric and developing a new practicable Artistic Conception Drawing retrieval system are the innovation of this paper.
引文
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[2] Pentland, picard R W, Sclaroff S. Photobook:Tools for content-based manipulation of image database. International Journal of Computer Vision, 1996, 18(3)
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[6] Sudeep Sarkar and Kim L.Boyer, "On optimal Infinite Impulse Response Edge Detecion Filter," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol.13, No. 11,Novmber 1991
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[8] J. M. S. Prewitt. Object enhancement and extraction in B. S. Lipkin and A. Rosenfeld eds. Picture Processing and Psychopictorics, 1970
[9] L. G. Robert. Machine perception of three-dimensional solids. In: Optical and Electro-Optical Information Processing, Tippett J, et al. eds., 1965: 159-197
[10] D. Marr and E. C. Hildreth. Theory of edge detection. Proc. Royal Soc. of London, B207:187-217, 1980.
[11] B. Buxton. Early Image Processing Structural Techniques Motivated by Human Visual Response. University of Surrey, 1984
[12] R. M. Haralick. Digital step edges from zero crossing of second directional derivatives. IEEE Trans on PAMI, 1984, 6 (1): 58-68
[13] R. Haralick Edge and region analysis for digital image data. In: Image Modeling, Rosenfeld A, ed., Academic Press, 1983
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[16] Y. Lu, R C. Jain. Pattern Analysis and Machine Intelligence, IEEE Transactions on Vol 11 Issue: 4, 1989: 337-356
[17] A. L. Yuille, T. Poggio. Scaling theorems for zero crossings. IEEE Transactions on PAMI, 1986, 8: 15-25
[18] P. Saint-Marc, J. S. Chen, G. Medioni. Adaptive smoothing: a general tool for early vision Pattern Analysis and Machine Intelligence. IEEE Transactions on, Vol. 13 Issue: 6, June 1991: 514-529
[19] 章毓晋．图像理解与计算机视觉．清华大学出版社，2000，8
[20] 浙江丝绸工学院．《织物组织与纹织学》．纺织工业出版社，1987
[21] 许鹤群等．《纺织产品CAD》．中国纺织工业出版社，1998
[22] M. J. Swain and D. H. Ballard, "Color indexing," International Journal of Computer Vision, Vol. 7, No. 1, 11-32, 1991.
[23] Y. Gong, H. J. Zhang and T. C. Chua, "An image database system with content capturing and fast image indexing abilities", Proc. IEEE International Conference on Multimedia Computing and Systems, Boston, 14-19 May 1994, 121-130.
[24] M. Stricker and M. Orengo, "Similarity of color images," SPIE Storage and Retrieval for Image and Video Databases Ⅲ, vol. 2185, 381-392, Feb. 1995.
[25] John R. Smith and Shih-Fu Chang. Tools and techniques for color image retrieval. In Proc. of SPIE: Storage and Retrieval for Image and Video Database.vol 2670, 1995.
[26] Jain A K, Vailaya, Shape-based retrieval: A case study with trademark image database. Pattern Recognition, 1998, 31(9)
[27] 庄越挺．智能多媒体信息分析与检索的研究[博士论文]．浙江大学，杭州，1998
[28] Gudivada V N, Raghavan V V, Content-based image retrieval system. IEEE Computer,1995, 28(9)
[29] Rui Y, Alfred C, Huang T S, Modified Tourier descriptor for shape representation, a practical appprach. In: Proc of First Int'I Workshop on Image Database and Multimedia, Search 1996
[30] Gunsel B, Tekalp A. Shape similarity matching for query-by-example. Pattern
Recognition, 1998, 31(7)
[31] 李瑜，李磊．基于内容的图像检索的方法研究．计算机科学，1999，Vol．26 No．8
[32] 庄越挺，潘云鹤．基于内容的图像检索综述．模式识别与人工智能，1999．6，Vol．12．No．2
[33] 王文惠，孟兵，万建伟，周良柱．利用不变量进行基于内容的图像检索．电子学报，2002．7，Vol．30 No．7
[34] 卢汉清，孔维新，廖明，马颂德．基于内容德视频信号与图像库检索中的图像技术，自动化学报，2001．1，Vol．27，No．1
[35] 王慧艳，图像边缘检测和图像匹配研究及应用[博士论文]．浙江大学，杭州，2003
[36] 郑南宁，计算机视觉与模式识别，国防工业出版社，1998．3 49～78
[37] 陈剑赟，老松杨，吴玲达．基于内容的图像检索的发展最新趋势．计算机工程与应用，2002．10
[38] 吴冬升，吴乐南，黄波．基于小波模糊聚类区域分割的图像检索．信号处理，2002．10，Vol．18，No．5
[39] 宫武鹏，王永仲，黎全．用B样条小波进行图像的多尺度边缘检测．红外技术，2000．7，Vol．22，No．4
[40] Hu.Ming-Kuei. Visual pattern recognition by moment invariants. IRE Trans Information Theory, 1962,179-187
[41] 丁明跃，常金玲，彭嘉雄．不变矩算法研究．数据采集与处理．1992．3，Vol．7 No．1
[42] 袁华，董守斌，张凌，张平．GFO和不变矩实现基于形状的图像检索新方法．华南理工大学学报(自然科学版) 2002年4月．Vol．30 No．4
[43] 曹家武，朱秋煜．一种基于轮廓的图像检索方法．计算机工程．2002．7 Vol．28 No．7
[44] 刘忠伟，章毓晋 基于特征的图像查询和检索系统．应用基础与工程科学学报．2000．3 Vol．8 No．1
[45] 王晖，张基宏．多尺度图像边界提取的小波算法与最优准则．深圳大学学报(理工版) 1997．9 Vol．14 No．2～3
[2] Pentland, picard R W, Sclaroff S. Photobook:Tools for content-based manipulation of image database. International Journal of Computer Vision, 1996, 18(3)
[3] Wactlar H D, Kanade T, Smith M A, Stevens S M. Intelligent access to digital video: informedia project. IEEE Computer, 1996, 29(5): 46-52
[4] 李向阳，庄越挺，潘云鹤．基于内容的图像检索技术与系统．计算机研究与发展，2001．3，38(3)
[5] T.Poggio, H.Voorhees and A.Yuille, "A Regularized solution to Edge Detecion," Tech.Rep.MA, Rep. AIM-833,MIT Artifical Intell. Lab., May 1985
[6] Sudeep Sarkar and Kim L.Boyer, "On optimal Infinite Impulse Response Edge Detecion Filter," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol.13, No. 11,Novmber 1991
[7] R. Kirsch. Computer determination of the constituent structure of biological images. Computer Biomedical Research, 1971,4:315-328
[8] J. M. S. Prewitt. Object enhancement and extraction in B. S. Lipkin and A. Rosenfeld eds. Picture Processing and Psychopictorics, 1970
[9] L. G. Robert. Machine perception of three-dimensional solids. In: Optical and Electro-Optical Information Processing, Tippett J, et al. eds., 1965: 159-197
[10] D. Marr and E. C. Hildreth. Theory of edge detection. Proc. Royal Soc. of London, B207:187-217, 1980.
[11] B. Buxton. Early Image Processing Structural Techniques Motivated by Human Visual Response. University of Surrey, 1984
[12] R. M. Haralick. Digital step edges from zero crossing of second directional derivatives. IEEE Trans on PAMI, 1984, 6 (1): 58-68
[13] R. Haralick Edge and region analysis for digital image data. In: Image Modeling, Rosenfeld A, ed., Academic Press, 1983
[14] R. M. Haralick. Ridges and valleys on digital images [J]. CVGIE 1983, 22
[15] A.P. Witkin. Scale-space filtering[A]. Proc. Int. Joint Conf. Artificial Intelligent[C]. 1983. 1019-1022.
[16] Y. Lu, R C. Jain. Pattern Analysis and Machine Intelligence, IEEE Transactions on Vol 11 Issue: 4, 1989: 337-356
[17] A. L. Yuille, T. Poggio. Scaling theorems for zero crossings. IEEE Transactions on PAMI, 1986, 8: 15-25
[18] P. Saint-Marc, J. S. Chen, G. Medioni. Adaptive smoothing: a general tool for early vision Pattern Analysis and Machine Intelligence. IEEE Transactions on, Vol. 13 Issue: 6, June 1991: 514-529
[19] 章毓晋．图像理解与计算机视觉．清华大学出版社，2000，8
[20] 浙江丝绸工学院．《织物组织与纹织学》．纺织工业出版社，1987
[21] 许鹤群等．《纺织产品CAD》．中国纺织工业出版社，1998
[22] M. J. Swain and D. H. Ballard, "Color indexing," International Journal of Computer Vision, Vol. 7, No. 1, 11-32, 1991.
[23] Y. Gong, H. J. Zhang and T. C. Chua, "An image database system with content capturing and fast image indexing abilities", Proc. IEEE International Conference on Multimedia Computing and Systems, Boston, 14-19 May 1994, 121-130.
[24] M. Stricker and M. Orengo, "Similarity of color images," SPIE Storage and Retrieval for Image and Video Databases Ⅲ, vol. 2185, 381-392, Feb. 1995.
[25] John R. Smith and Shih-Fu Chang. Tools and techniques for color image retrieval. In Proc. of SPIE: Storage and Retrieval for Image and Video Database.vol 2670, 1995.
[26] Jain A K, Vailaya, Shape-based retrieval: A case study with trademark image database. Pattern Recognition, 1998, 31(9)
[27] 庄越挺．智能多媒体信息分析与检索的研究[博士论文]．浙江大学，杭州，1998
[28] Gudivada V N, Raghavan V V, Content-based image retrieval system. IEEE Computer,1995, 28(9)
[29] Rui Y, Alfred C, Huang T S, Modified Tourier descriptor for shape representation, a practical appprach. In: Proc of First Int'I Workshop on Image Database and Multimedia, Search 1996
[30] Gunsel B, Tekalp A. Shape similarity matching for query-by-example. Pattern
Recognition, 1998, 31(7)
[31] 李瑜，李磊．基于内容的图像检索的方法研究．计算机科学，1999，Vol．26 No．8
[32] 庄越挺，潘云鹤．基于内容的图像检索综述．模式识别与人工智能，1999．6，Vol．12．No．2
[33] 王文惠，孟兵，万建伟，周良柱．利用不变量进行基于内容的图像检索．电子学报，2002．7，Vol．30 No．7
[34] 卢汉清，孔维新，廖明，马颂德．基于内容德视频信号与图像库检索中的图像技术，自动化学报，2001．1，Vol．27，No．1
[35] 王慧艳，图像边缘检测和图像匹配研究及应用[博士论文]．浙江大学，杭州，2003
[36] 郑南宁，计算机视觉与模式识别，国防工业出版社，1998．3 49～78
[37] 陈剑赟，老松杨，吴玲达．基于内容的图像检索的发展最新趋势．计算机工程与应用，2002．10
[38] 吴冬升，吴乐南，黄波．基于小波模糊聚类区域分割的图像检索．信号处理，2002．10，Vol．18，No．5
[39] 宫武鹏，王永仲，黎全．用B样条小波进行图像的多尺度边缘检测．红外技术，2000．7，Vol．22，No．4
[40] Hu.Ming-Kuei. Visual pattern recognition by moment invariants. IRE Trans Information Theory, 1962,179-187
[41] 丁明跃，常金玲，彭嘉雄．不变矩算法研究．数据采集与处理．1992．3，Vol．7 No．1
[42] 袁华，董守斌，张凌，张平．GFO和不变矩实现基于形状的图像检索新方法．华南理工大学学报(自然科学版) 2002年4月．Vol．30 No．4
[43] 曹家武，朱秋煜．一种基于轮廓的图像检索方法．计算机工程．2002．7 Vol．28 No．7
[44] 刘忠伟，章毓晋 基于特征的图像查询和检索系统．应用基础与工程科学学报．2000．3 Vol．8 No．1
[45] 王晖，张基宏．多尺度图像边界提取的小波算法与最优准则．深圳大学学报(理工版) 1997．9 Vol．14 No．2～3