电子学报2017，Vol.45Issue(7)：1701-1706,6.DOI:10.3969/j.issn.0372-2112.2017.07.021
基于改进均值标准差曲线描述子的反射对称轴检测
Reflection Symmetry Axis Detection Based on Improved Mean-Standard Deviation Curve Descriptor
摘要
Abstract
Due to the difficulty in detecting reflection symmetry axis,a detection algorithm based on improved mean-standard deviation curve descriptor (MSCD) is proposed.Firstly,the proposed algorithm improves the MSCD so that its mirror reflection invariance can guarantee the accurate detection of the symmetrical curve pairs.Then the distance constraint and Hough transform are used to gain local symmetry axis of the image.Finally,final symmetry axis can be acquired by merging the local ones.Experimental results show that the proposed algorithm can realize the symmetric axis detection for image with both single symmetric axis and multi ones.Besides,it can locate the image symmetry axis precisely and robustly under brightness changes,contrast changes,noise pollution,fuzzy and deformations.关键词
均值标准差曲线描述子/曲线匹配/反射对称轴检测Key words
mean-standard deviation curve descriptor/curve matching/reflection symmetry分类
信息技术与安全科学引用本文复制引用
刘红敏,熊文俊,赵伟,王志衡,王静..基于改进均值标准差曲线描述子的反射对称轴检测[J].电子学报,2017,45(7):1701-1706,6.基金项目
国家自然科学基金(No.61272394,No.61472119,No.61572173,No.61472373,No.61401150) （No.61272394,No.61472119,No.61572173,No.61472373,No.61401150）
河南理工大学创新型科研团队项目(No.T014-3) （No.T014-3）
河南理工大学杰出青年基金(No.J2016-3) （No.J2016-3）
河南省高校基本科研业务费(No.NSFRF1604) （No.NSFRF1604）
