作　　者： ;

机构地区： 南京财经大学

出　　处： 《电子学报》 2013年第9期1821-1825,共5页

摘　　要： 本文提出了一种多尺度拱高形状描述(MSAH).该方法用多尺度的拱高来度量形状轮廓线在其每一个点的弯曲程度,这里尺度是以该点为中点的弧段的长度.在每一个尺度级,为形状轮廓线构建一个一维的拱高函数,然后对其进行傅立叶变换,组合各尺度级的低阶的傅立叶变换系数,构成描述形状的特征向量.在形状匹配阶段,用两个形状的特征向量的L1-距离来度量它们的形状相似性.该方法不仅能描述形状的全局特征,而且能描述形状的细节信息,因而在应用于图像检索中,具有高的检索精确率.MSAH形状描述子非常紧致,而且具有较低的计算复杂度,因而检索效率也很高.在用MPEG-7形状数据库和植物叶片形状数据库的检索实验中,其检索性能要优于近年来提出的基于变换域的形状描述方法和经典的形状上下文描述方法. A multi-scale arc height shape description（MSAH）is proposed for image retrieval. This method uses the multi- scale arc height to measure the bending degree of each contour point. At each scale, an arch height function is generated and is suf- fered flom Fourier transform. The Low frequency coefficients of Fourier transform for arch height functions of each scale are com- bined to form a feature vector as the shape description.At the shape matching stage,the L1 distance between the two features is used to measure the shape similarity. MSAH can not only capture the global features of the shape, but also reflect the details of the shape, therefor it has a higher retrieval accuracy when applied to image retrieval. MSAH is very compact and has a low computa- tional complexity, so it has higher retrieval efficiency. MSAH is evaluated on the MPEG-7 shape database and plant leaf database, all the experiments show that MSAH has higher reuieval performance over the recent proposed Wansform domain based methods and shape contexts method.

关 键 词： 多尺度拱高 傅立叶变换 形状描述 图像检索

领　　域： [自动化与计算机技术] [自动化与计算机技术]