基于小波包分解的玻璃图像识别算法

2009 International Conference on Computational Intelligence and Natural Computing Pub Date : 2009-06-06 DOI:10.1109/CINC.2009.29

Huan Liang, W. Zhihua

{"title":"基于小波包分解的玻璃图像识别算法","authors":"Huan Liang, W. Zhihua","doi":"10.1109/CINC.2009.29","DOIUrl":null,"url":null,"abstract":"Wavelet packet decomposition not only has the decompose effect at low-frequency by using wavelet decomposition, but also has the decompose effect at high-frequency where can not do by using wavelet decomposition. In this paper, the wavelet packet decomposition algorithm was proposed and applied to glass-image recognition. Compared with other feature extracting technologies such as Zernike’s moments and wavelet transformation, the experiments proved that the wavelet packet decomposition was the best on both precision and efficiency","PeriodicalId":173506,"journal":{"name":"2009 International Conference on Computational Intelligence and Natural Computing","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"An Algorithm of Glass-Image Recognition Based on Wavelet Packet Decomposition\",\"authors\":\"Huan Liang, W. Zhihua\",\"doi\":\"10.1109/CINC.2009.29\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wavelet packet decomposition not only has the decompose effect at low-frequency by using wavelet decomposition, but also has the decompose effect at high-frequency where can not do by using wavelet decomposition. In this paper, the wavelet packet decomposition algorithm was proposed and applied to glass-image recognition. Compared with other feature extracting technologies such as Zernike’s moments and wavelet transformation, the experiments proved that the wavelet packet decomposition was the best on both precision and efficiency\",\"PeriodicalId\":173506,\"journal\":{\"name\":\"2009 International Conference on Computational Intelligence and Natural Computing\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Computational Intelligence and Natural Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CINC.2009.29\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Computational Intelligence and Natural Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINC.2009.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 6

摘要

小波包分解不仅在低频处具有小波分解的效果，而且在高频处也具有小波分解无法做到的分解效果。本文提出了小波包分解算法，并将其应用于玻璃图像识别。与Zernike矩和小波变换等其他特征提取技术相比，实验证明小波包分解在精度和效率上都是最好的

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

An Algorithm of Glass-Image Recognition Based on Wavelet Packet Decomposition

Wavelet packet decomposition not only has the decompose effect at low-frequency by using wavelet decomposition, but also has the decompose effect at high-frequency where can not do by using wavelet decomposition. In this paper, the wavelet packet decomposition algorithm was proposed and applied to glass-image recognition. Compared with other feature extracting technologies such as Zernike’s moments and wavelet transformation, the experiments proved that the wavelet packet decomposition was the best on both precision and efficiency

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2009 International Conference on Computational Intelligence and Natural Computing

自引率

0.00%

发文量