| dc.description.abstract | An image mosaic is a panoramic image generated
by assembling sequential images belong to the same scene . This
method is mainly used in mapping applications, the evaluation of
the images acquired from unmanned aerial vehicles, and various
computer vision applications. In this study, we proposed a novel
blending method for automatic seamless image mosaicing from
ground level photos taken by an digital camera. For the
correction of consistent seams occurred during the mosaicing, we
measured the color differences around the overlapping regions.
For this purpose, first, we determined the intensity values of
image pixels inside and outside the overlapping region boundary
within a 1 pixel wide zone. Secondly, the intensity values were
averaged and finally, the average values of color differences were
applied to overlapping regions. Besides, a motion blur filter was
performed for the same boundary regions in order to reduce the
seams. In order to test the accuracy, a subjective evaluation
metric was used. According to the results obtained, the seamless
image mosaics were generated with a subjective accuracy of 74%.
Our results indicate that the seams can be substantially reduced
or completely eliminated, and the illumination differences are
minimized. | tr |
