In this paper, we initially consider representation of 2D black-white image
s and 3D objects using finite state automata. We describe transformation of
scaling on the 2D image by an operation on the FSA. We also give construct
ions for getting the projections of a 3D object on to coordinate planes and
for reconstructing the 3D object from its projections. We define minimizat
ion of nondeterministic FSAs and give an O(e(2)) (e is the number of edges
in the FSA) algorithm for minimization of NFAs. Later, we define a WFA and
describe various properties of WFA. We define four normal forms of WFA and
show how a WFA can be normalized into any of these forms. We show the equiv
alence of WFAs with epsilon edges and epsilon-free WFAs. Then, we define mi
nimization of WFAs and present an algorithm to minimize a WFA.