基于Beamlet变换的线特征检测

Line Detection Based on Beamlet Transform

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。

Line feature is very important to images. In order to extract lines perfectly this paper provides an approach to muhiscale 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.