  In this paper, a method for Automatic Image Registration (AIR) through
histogram is proposed. Automatic image registration is one of the crucial steps
in the analysis of remotely sensed data. A new acquired image must be
transformed, using image registration techniques, to match the orientation and
scale of previous related images. This new approach combines several
segmentations of the pair of images to be registered. A relaxation parameter on
the histogram modes delineation is introduced. It is followed by
characterization of the extracted objects through the objects area, axis ratio,
and perimeter and fractal dimension. The matched objects are used for rotation
and translation estimation. It allows for the registration of pairs of images
with differences in rotation and translation. This method contributes to
subpixel accuracy.
