基于二阶矩显著性估算地局部不变特征提取.pdfVIP

第 36 卷第 6 期 光电工程 Vol.36, No.6 2009 年 6 月 Opto-Electronic Engineering June, 2009 文章编号：1003-501X(2009)06-0103-06 基于二阶矩显著性估算的局部不变特征提取 胡俊华，徐守时，陈海林，张 振 ( 中国科学技术大学 电子工程与信息工程系，合肥 230027 ) 摘要：借鉴图像显著性区域的检测思想，提出一种基于局部二阶矩显著性估算的局部不变特征提取算法。利用二 阶矩矩阵对尺度空间下局部图像的各向异性程度的估算作用，在图像尺度空间中对局部特征提取区域的信息显著 性进行评估，并根据显著性进行局部不变特征的提取，提取出拥有较高显著性的局部不变特征，增加了匹配特征 点对的数量和尺度跨度。真实图像实验证明，该算法在保持局部特征各种不变性的基础上有效地提高了特征提取 和匹配算法的性能。 关键词：二阶矩矩阵；图像尺度空间；局部不变特征；图像分析 中图分类号：TP391.41 文献标志码：A doi：10.3969/j.issn.1003-501X.2009.06.021 Local Invariant Feature Extraction Base on Salient Measurement of Second Moment Matrix HU Jun-hua ，XU Shou-shi ，CHEN Hai-ling，ZHANG Zhen ( Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China ) Abstract : Inspired by image salient area detection model, A model for extracting local invariant feature is proposed based on salient measurement of local second moment matrix. The extraction is divided into two stages: The first one is the salient extent estimation of a local feature with analysis of the local image patch’s anisotropy in image scale space. The second one is to direct the feature extraction process according to the extent of local information saliency and to create local salient feature descriptor with more accurate location match and a larger scale span. The experimental results with many real images show that the algorithm is effective and feasible. Key words : second moment matrix; image scale space; local invariant feature; image analysis 0 引 言 模仿人类视觉的显著性区域检测对图像的分析和理解过程有着非常重要的意义，图像中