Level compression-based image representation and its applications
作者:
Highlights:
•
摘要
In this paper, a level compression-based image representation (LCBIR) is presented. This new image representation method improves the bintree representation for compressing digital binary images. Then we present a fast search algorithm on the LCBIR, which can support fast search and query in pictorial database. Experimental results show that our search algorithm on the LCBIR is faster than the one on the bintree representation.
论文关键词:Spatial data structures,Bintree,Image compression,Level compression,Search algorithm,Pictorial database
论文评审过程:Received 5 September 1996, Accepted 7 May 1997, Available online 7 June 2001.
论文官网地址:https://doi.org/10.1016/S0031-3203(97)00051-4