  Vectorization process focus on grouping pixels of a raster image into raw
line segments, and forming lines, polylines or poligons. To vectorize massive
raster images regarding resource and performane problems, weuse a distributed
HIPI image processing interface based on MapReduce approach. Apache Hadoop is
placed at the core of the framework. To realize such a system, we first define
mapper function, and then its input and output formats. In this paper, mappers
convert raster mosaics into vector counterparts. Reduc functions are not needed
for vectorization. Vector representations of raster images is expected to give
better performance in distributed computations by reducing the negative effects
of bandwidth problem and horizontal scalability analysis is done.
