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基于小波变换和奇异值分解的剪纸纹样识别
引用本文:张显全,李国祥,秦芳远.基于小波变换和奇异值分解的剪纸纹样识别[J].计算机工程与设计,2010,31(10).
作者姓名:张显全  李国祥  秦芳远
作者单位:广西师范大学,计算机科学系,广西,桂林,541004
基金项目:广西自然科学基金,广西自然科学基金,重庆市教委研究基金,广西教育厅基金,广西研究生教育创新计划基金 
摘    要:针对民间传统剪纸艺术的计算机创作问题,在分析剪纸艺术特点的基础上,提出一种基于小波变换和奇异值分解的剪纸纹样识别方法.首先对剪纸纹样图像进行归一化和二值化处理,然后应用小波变换提取剪纸纹样图像的低频分量并进行奇异值分解,最后通过对奇异值进行归一化和降维处理作为最终的特征向量,利用最近邻分类器进行模式识别.实验结果表明,该方法能够有效地去除噪声干扰,较好的识别有一定艺术夸张变形的剪纸纹样.

关 键 词:小波变换  低频分量  奇异值分解  特征提取  纹样识别

Paper cut-out patterns recognition based on wavelet transform and SVD
ZHANG Xian-quan,LI GUO-xiang,QIN Fang-yuan.Paper cut-out patterns recognition based on wavelet transform and SVD[J].Computer Engineering and Design,2010,31(10).
Authors:ZHANG Xian-quan  LI GUO-xiang  QIN Fang-yuan
Affiliation:ZHANG Xian-quan,LI Guo-xiang,QIN Fang-yuan(Department of Computer Science,Guangxi Normal University,Guilin 541004,China)
Abstract:Aiming at the problems of the traditional paper cut-out art for computer creation,after analyzing the characteristics of paper cut-out art,a method of paper cut-out patterns recognition based on wavelet transform and singular value decomposition is proposed.The paper cut-out image normalized and binaryzation are discomposed in low frequency component by tow-dimension discrete wavelet,then distilled the singular value from low frequency component,after reducing dimension processing and making unitary dealing...
Keywords:wavelet transform  low frequency component  SVD  feature extraction  patterns recognition  
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