Fabric Pattern Elements Retrieval Based on Cosine Transform 被引量：2

Fabric Pattern Elements Retrieval Based on Cosine Transform

下载PDF

导出

摘要 Fabric pattern contains many types of the available pattern elements, which not only can be used for the researchers, but also as the material for the designer. But existing method focus on the complete image retrieval, therefore lack methods of retrieving pattern elements. This article proposes a pattern elements retrieval algorithm based on cosine transform. Firstly, automatically segment the patterns according to size and location and filter the similar primary patterns, then, through cosine transform, analyze elements features in DCT domain, extract amplitude frequency and phase frequency. We employ 2-norm to measure the similarity, search 10 similar pattern elements in the sample library and save them in the design resources library. Experiment results indicate that this algorithm performs well while used in palace costume and carpet patterns, and got more than 75% of the average recall in 100 times experiments Fabric pattern contains many types of the available pattern elements, which not only can be used for the researchers, but also as the material for the designer. But existing method focus on the complete image retrieval, therefore lack methods of retrieving pattern elements. This article proposes a pattern elements retrieval algorithm based on cosine transform. Firstly, automatically segment the patterns according to size and location and filter the similar primary patterns, then, through cosine transform, analyze elements features in DCT domain, extract amplitude frequency and phase frequency. We employ 2-norm to measure the similarity, search 10 similar pattern elements in the sample library and save them in the design resources library. Experiment results indicate that this algorithm performs well while used in palace costume and carpet patterns, and got more than 75% of the average recall in 100 times experiments

作者 ZHAO Hai-ying JIA Geng-yun TAN Xin

机构地区 School of Information and Communication Engineering Mobile media and cultural calculation Key Laboratory of Beijing

出处《Computer Aided Drafting,Design and Manufacturing》 2015年第3期18-22,共5页 计算机辅助绘图设计与制造（英文版）

基金 Supported by National Natural Science Foundation of China(61163044) Philosophy and Social Key Fund Project(12AZD120) Project ofBeijing Scientific Committee(Z141110004414074 Z141100001914035)

关键词 dress pattern cosine transform primitive recognition pattern segmentation feature extraction dress pattern cosine transform primitive recognition pattern segmentation feature extraction

分类号 TP391.41 [自动化与计算机技术—计算机应用技术] TU238.2 [建筑科学—建筑设计及理论]

引文网络
相关文献

参考文献2

1周西柳,章洁.基于聚类余弦变换的图像增强算法研究[J].计算机仿真,2012,29(2):216-219. 被引量：9
2徐凌,刘薇,杨光.结合小波域变换和空间域变换的图像增强方法[J].波谱学杂志,2007,24(4):462-468. 被引量：14

二级参考文献19

1曾鹏鑫,么健石,陈鹏,徐心和.基于小波变换的图像增强算法[J].东北大学学报（自然科学版）,2005,26(6):527-530. 被引量：20
2J Tang, E Peli and S Action. Image Enhancement using a contrast measure in the compressed domain [ J ]. IEEE Signal Processing Letters, 10(10) :289 -292,2003.
3S Lee. Content based image enhancement in the compressed do- main based on multi - scale alpha - rooting algorithm [ J ]. PRL 2006,27(10) : 1054 - 1066,.
4I De, B Chanda, B Chattopadhyay. Enhancing effective depth -of -field by image fusion using mathematical morphology[ J]. Image and Vision Computing, 2006,24(12) : 1278 - 1287.
5Jin L, Satoh S, Sakauchi M. A novel adaptive image enhancement algorithm for face detection[J]. IEEE proceedings of 17th international conference on pattern recognition (ICPR'04), 2004, 4:843-848.
6Wongsritong K, Kittayaruasiriwat K, Cheevasuvit F, etal. Contrast enhancement using multipeak histogram equalization with brightness preserving[J]. IEEE asia pacific conference on circuits and systems proceedings, 1998, 11: 455-458.
7Cheng H D, Shi X J. A simple and effective histogram equalization approach to image enhancement[J]. Digit Signal Process, 2004, 14: 158-170.
8Scharcanski J, Jung C R. An adaptive approach to mammographic image denoising and enhancement[J]. IEEE proceedings of the XVII brazilian symposium on computer graphics and image processing (SIBGRAPI' 04), 2004, 1: 2-9.
9Rahman Z U, Jobson D J, Woodell G A. Retinex processing for automatic image enhancement~J~. J Electron Imaging, 2004, 13(1) : 100-110.
10Strarck J L, Murtagh F, Candes E J, et al. Gray and color image contrast enhancement by the curvelet transform[J]. IEEE T Image Process, 2003, 12(6): 706-717.