Geographic Maps Classification Based on L*A*B Color System

Abstract

Today any geographic information system (GIS) layers became vital part of any GIS system , and consequently , the need for developing automatic approaches to extract GIS layers from different image maps like digital maps or satellite images is very important. Map classification can be defined as an image processing technique which creates thematic maps from scanned paper maps or remotely sensed images. Each resultant theme will represent a GIS layer of the images. A new proposed approach to extract GIS layers (classes) automatically based on L*A*B colorsystem selected from ( A and B ) is proposed in this paper, our experiments shows that the hsi color space gives better than L*A*B.