Fixed Attribute-length Linear Quadtree Representations for Storing Similar Images

摘要

The pictures to be processed are consecutive images in many applications such as computer graphics, image processing, and geographic information systems. These consecutive images form a gradually changing data set. A large amount of memory space is required for storing these images if the similarity relation among them is ignored. Based on the linear quadtree structures and overlapping concepts, a Fixed Attribute-length Linear quadtree (FALQ) representation is proposed for storing a sequence of similar binary images. Unfortunately, it is inefficient when the overlapping percentages of images are high. We modify its representation to eliminate the drawback. The modified structures work well and their space reductions are greater than the overlapping percentage of these consecutive images. Experiments will be made to compare our representation with other overlapping structures. From the- experiments, our representation is shown to be better than other representations.