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基于Beamlet变换的线特征检测

屈庆春1, 彭玉华1, 杨明强1(山东大学信息科学与工程学院,济南 250100)

摘 要
线特征是图像的重要特征,其检测效果直接影响模式识别和分类。基于调和分析的思想,给出一种带有方向信息的多尺度的Beamlet基,对图像进行Beamlet变换。试验结果表明,该线特征检测方法不仅能提取无噪声图像中的直线和曲线,而且对强噪声图像中的直线和曲线提取效果也很好。
关键词
Line Detection Based on Beamlet Transform

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Abstract
Line feature is very important to images.In order to extract lines perfectly this paper provides an approach to multiscale image analysis that we call Beamlet analysis.Beamlets have localized scale/location/orientation based on dyadically-organized line segments.Experiments show that the newer method extracts lines better not only in the original images,but also in the noising ones.
Keywords

订阅号|日报