This paper presents a new approach to scale-space image based on our r
ecent work on polygonal approximation. The polygonal approximation inv
olves a counter which can be varied to produce different sets of verte
x points and hence different polygonal approximations. These polygons
are combined to construct a scale-space image. The scale-space image i
s in conformity with the scale-space theory. The scale-space behaviour
of different corner models is also analysed and a method for comer de
tection is proposed. The validity of the proposed technique is tested
through experimental results.