Antique Coin Image Retrieval Based on Synthetic Feature
Multimedia database retrieval is a key technology used to construct a modern digital museum. The antique coin images are the important component parts of multimedia database in digital museum. In this paper, we design an antique coin image retrieval (ACIR) system using synthetic features. The synthetic features include two parts: one is the histogram of centroid distance (HCD) as a coarse feature descriptor and the other is the modified moment invariants (MMI) as a fine feature descriptor. HCD is a contour-based shape feature descriptor with great efficiency when the shapes of objects in two target images have obvious differences. MMI is a regionbased feature descriptor which can well distinguish interior details of images. A Synthetic feature matching strategy is proposed to measure the similarity between the query image and database images. The experimental results demonstrate that the algorithm of synthetic feature matching is effective and efficient in ACIR system. And we also believe that our work can dedicate to the construction of digital museum.
Content-based retrieval Synthetic feature Histogram of centroid distance Moment Invariants Match strategy Antique coins
Hou A-Lin Guo Yun-Fe Shi Dong-Cheng Feng Yuan Jiao Song-Lin
College of Computer Science and Engineering Changchun University of Technology Changchun,P.R. China College of Computer Science and Engineering Changchun University of Technology Changchun,P.R.China
国际会议
长春
英文
198-201
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）