Title :
A fuzzy quadtree representation for spatial analysis
Author_Institution :
Dept. of Comput. & Inf. Sci., Soochow Univ., Taipei, Taiwan
Abstract :
This paper presents not only an encoding scheme to express a large binary raster image with a fuzzy quadtree structure, but also various spatial functions on this structure. Based on this scheme, the space to store an image and the time to perform spatial analyses on this image will be reduced since the image represented by this structure has less number of nodes than that of an ordinary quadtree structure. In addition, this scheme seems to be well suited for the diverse geographic applications which do not need accurate results but friendly processes with fuzziness and fast processing time
Keywords :
fuzzy set theory; image coding; image representation; image segmentation; quadtrees; binary raster image; encoding scheme; fuzzy quadtree structure; geographic applications; image representation; spatial analysis; spatial functions; Encoding; Linear code; Merging;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.566314
