[1]黄蕾,邹海. 基于相位一致的多尺度金字塔图像特征提取[J].计算机技术与发展,2015,25(03):36-39.
　HUANG Lei,ZOU Hai. Image Feature Extraction Algorithm of Multi-scale Pyramid Based on Phase Congruency[J].,2015,25(03):36-39.
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 基于相位一致的多尺度金字塔图像特征提取()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年03期
页码:
36-39
栏目:
智能、算法、系统工程
出版日期:
2015-03-10

文章信息/Info

Title:
 Image Feature Extraction Algorithm of Multi-scale Pyramid Based on Phase Congruency
文章编号:
1673-629X（2015)03-0036-04
作者:
 黄蕾; 邹海
 安徽大学 计算机科学与技术学院
Author(s):
 HUANG Lei; ZOU Hai
关键词:
 ; 特征提取; 相位一致; 多分辨; 多尺度金字塔
Keywords:
 ; feature extraction; phase congruency; multi-resolution; multi-scale pyramid
分类号:
TP391
文献标志码:
A
摘要:
 图像特征提取是数字图像处理与模式识别领域中的关键问题，各种特征提取方法层出不穷。相位一致图像特征提取方法是基于局部相位信息进行图像特征提取，具有亮度和对比度不变性的优点，但是在轮廓特征提取方面存在缺陷。考虑到多分辨率、多尺度对图像特征提取的影响，提出一种基于相位一致的多尺度金字塔图像特征提取算法，新算法的关键在于拉普拉斯金字塔的分解和多尺度特征图像的融合。实验结果表明，该算法在提取图像轮廓特征方面要优于传统的相位一致图像特征提取算法。
Abstract:
 Image feature extraction is the key issue in the field of digital image processing and pattern recognition. The feature extraction methods are emerging in endlessly. Phase congruency image feature extraction method is based on local phase information for feature ex-traction,which has advantage of brightness and contrast invariance,but there are still insufficient for contour feature extraction. In order to fully consider the influence of multi-resolution,multi-scale image,present a feature extraction algorithm of multi-scale pyramid based on the phase congruency. The key is Laplacian pyramid decomposition and multi-scale feature fusion. The experimental results show that the new algorithm is superior to phase congruency image feature extraction algorithm in the contour of image feature extracting.

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更新日期/Last Update: 2015-04-30