摘要
提出了一种用于形状检索的基于多级弦长函数的傅立叶形状描述子(MCLFD).它产生于对形状轮廓线的等弧长分割.相对于其它的傅立叶描述子,MCLFD不仅计算非常简单,而且对形状的整体特征和细节信息都能进行很好的描述.作者用MPEG-7的标准轮廓线形状测试集和从野外采集的植物叶片形状库,对MCLFD进行了检索性能测试,并和其它的傅立叶描述子进行了对比,实验结果表明,MCLFD具有更优的检索性能,通过加噪声实验也证明了其鲁棒性.
A novel Fourier shape descriptor based on multi-level chord length function（MCLFD）is proposed for shape retrieval in this paper.It is derived from equal-arc-length partitions of the shape contour.Compared with the existing Fourier shape descriptors,MCLFD is not only simple to compute but also can reflect the shape＇s global features and fine details.The MPEG-7 contour shape database and the plant leaf shape database which is taken from nature,are used to test the retrieval performance of MCLFD.The experimental results show that the MCLFD has a very higher retrieval performance than the existing Fourier shape descriptors.The experimental results of adding noises also demonstrate that MCLFD is very robustness.
出处
《计算机学报》
EI
CSCD
北大核心
2010年第12期2387-2396,共10页
Chinese Journal of Computers
基金
中国博士后科学基金(20090461052)
江苏省自然科学基金(BK2009348)
江苏省高校自然科学研究计划(08KJB510002
06KJD520073)
江苏省产学研前瞻性联合研究计划(by20091005)资助~~
关键词
图像分析
形状描述
傅立叶描述子
多级弦长函数
image analysis
shape representation
Fourier descriptors
multi-level chord length function
