Building a quadtree and its applications on a reconfigurable mesh

作者:

Highlights:

摘要

Quadtree is an efficient method to represent binary images. How to build a quadtree for a binary image is worthy of study. The major contribution of this paper is that we first use the Hilbert mapping technique to represent the binary image. Then, based on the reconfigurability of the reconfigurable mesh, a constant time algorithm for building a quadtree for an n × n binary image using n × n processors is derived. For applications of this algorithm two methods for compressing and decompressing binary images are also proposed.

论文关键词:Image processing,Pattern recognition,Parallel algorithms,Quadtree,Image compression/decompression,Reconfigurable mesh,Hilbert's space-filling curve

论文评审过程:Received 4 April 1995, Revised 4 December 1995, Accepted 11 January 1996, Available online 7 June 2001.

论文官网地址:https://doi.org/10.1016/0031-3203(96)00003-9