摘要： 在曲线匹配的基础上提出一种新的图像反射对称性检测算法。使用亮度序均值标准差描述子进行曲线匹配,获取单幅图像中的对称曲线对。对对称曲线对上的各点进行梯度对称性度量,确定对称曲线对上的梯度对称点对。使用最小距离约束获取对称曲线对上的最佳对称点对,计算该点对连线的中点。获取图像中所有对称曲线对上最佳对称点对的中点,使用Hough变换实现图像反射对称轴的检测。实验结果表明,在图像亮度变化、对比度变化、噪声污染及旋转情况下,该算法均能够准确地定位图像的对称轴,并成功用于倒影图像的对称性检测。

关键词: 亮度序均值标准差描述子, 曲线匹配, 反射对称性检测, 梯度对称性, 最小距离约束

Abstract: A new algorithm is presented based on curve matching to detect the reflection symmetry of the image.The Intensity Order based Mean Standard Deviation descriptor(IOMSD) is adopted to obtain the symmetric curve pairs in the single image.The gradient symmetry measurement for the points lying on the symmetric curve pair is made to determine the gradient symmetry point pairs.The best symmetry point pair on one symmetric curve pair is picked out under the minimum distance constraint,and the midpoint of the best symmetry point pair can be thus located.For all the midpoints of the symmetric curve pairs in the image,Hough transform is used to detect the reflection symmetry axis.Experimental results show that the proposed algorithm can precisely locate the reflection symmetry axis in the case of illumination change,contrast change,noise contamination and image rotation.A good application on symmetry detection in reflecting image is also demonstrated.

Key words: Intensity Order based Mean Standard Deviation Descriptor(IOMSD), curve matching, reflection symmetry detection, gradient symmetry, minimum distance constraint

中图分类号: 

• TP391