|本期目录/Table of Contents|

[1]罗戎蕾.基于复小波变换的纺织品图案检索方法研究[J].浙江理工大学学报,2015,33-34(自科1):46-50.
　LUO Rong lei.Study on Textile Pattern Retrieval Method Based on Complex Wavelet Transformation[J].Journal of Zhejiang Sci-Tech University,2015,33-34(自科1):46-50.
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基于复小波变换的纺织品图案检索方法研究()
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浙江理工大学学报[ISSN:1673-3851/CN:33-1338/TS]

卷:
第33-34卷
期数:
2015年自科1期
页码:
46-50
栏目:
出版日期:
2015-01-10

文章信息/Info

Title:
Study on Textile Pattern Retrieval Method Based on Complex Wavelet Transformation
文章编号:
1673-3851 (2015) 01-0046-05
作者:
罗戎蕾
浙江理工大学, a. 服装学院; b. 浙江省服装工程技术研究中心, 杭州 31001
Author(s):
LUO Ronglei
a. School of Fashion Design and Engineering; b.Zhejiang Provincial Research Center ofClothing Engineering Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China
关键词:
小波变换;  复小波;  旋转小波图像检索;  面料图案
分类号:
TS941.26
文献标志码:
A
摘要:
针对海量数据中提取纺织品设计图案问题,引入面料视觉基础分类的横纹、竖纹、格纹等面料图像类概念,针对海量数据中提取纺织品设计图案问题,从而构建基于Dauchechies小波旋转变换和旋转复变换的多分辨率图像分解形成的特征表,代替传统方法下使用矩阵的均值和方差作为特征纹理数据的方法,除了尺度和位移两个参量外,增加了一个方向参量,具有更好的方向辨识能力,从而对图像的边缘,如曲线、直线等几何特征的表达有一定优势。研究结果可以为基于内容的面料图案图像数据库检索提供基础理论依据。

参考文献/References:

［1］ Celik T, Tjahjadi T. Texture classification and retrieval based on complex wavelet subbands［C］// Computer and Information Sciences: Proceedings of the 25th  International Symposium on Computer and Information Sciences, 2010: 259-264.
［2］ Kwitt R. Lightweight probabilistic texture retrieval［J］. IEEE Transactions on Image Processing, 2010, 19(1): 241-253.
［3］ Zhu X, Shao Z. Using no parameter statistic features for texture image retrieval［J］. Sensor Review, 2011, 31(2): 144-153.
［4］ Priya K J, Rajesh R S. Local statistical features of dual tree complex wavelet transform on parallelogram image structure for face recognition with single sample［C］//International Conference on Recent Trends in Information, Telecommunication and Computing, 2010: 50-54.
［5］ Xavier L, Bella M, Thusnavis B, et al. Content based image retrieval using textural features based on pyramidstructure wavelet transform［C］//3rd International Conference on Electronics Computer Technology, 2011: 79-83.
［6］ Gonde A, Maheshwari R, Balasubramanian R. Rotated complex wavelet transform with vocabulary tree for content based image retrieval［C］// Proceedings of the 1st International Conference on Intelligent Interactive Technologies and Multimedia, 2011: 284-291.
［7］ Quellec G, Lamard M, Cazuguel G. Adaptive non separable  wavelet transform via lifting and its application to contentbased Image retrieval［J］. IEEE Transactions on Image Processing, 2010, 19(1): 25-35.
［8］ Manjunath B, Ma W. Texture features for browsing and retrieval of large image data［J］. Pattern Analysis and Machine Intelligence, IEEE Transactions, 1996, 18(8): 837-842.
［9］ Tian Q, Sebe N, Lew M S, et al. Image retrieval using waveletbased salient points［J］. J. Electron. Imaging, 2001, 10(4): 835-849.
［10］ Balmelli  L, Mojsilovic A. Wavelet domain features for texture description classification and replicability  analysis［C］// IEEE Interuational Conference Image Process, 1999: 440-444.
［11］ Manthalkar  R, Biswas P, Chatterji B. Rotation and ccale invariant texture features using discrete wavelet packet transform［J］. Pattern Recognition Letters, 2003, 24(14): 2455-2462.
［12］ Jafari K, Khouzani H, Soltanian Z. Rotationinvariant multiresolution texture analysis using radon and wavelet transform［J］. IEEE Trans on Image Processing, 2005, 14(6): 783-795.

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备注/Memo

备注/Memo:
收稿日期： 2014-01-06
基金项目： 浙江自然科学基金项目(LQ12F02018);浙江省重点科技创新团队计划资助(2011R50004);纺织科学与工程一级学科中青年拔尖人才培养计划(11110532241405)
作者简介： 罗戎蕾(1974-),女,浙江杭州人,副教授,博士,主要从事服装计算机辅助设计方面的研究
更新日期/Last Update: 2014-12-24