Image mosaic construction using feature matching and weighted fusion

An image mosaic construction method with focuses in feature matching and image fusion is proposed. The merit of this method is that it can effectively reduce the rate of feature mismatches. Corners in two overlapping images are taken as features which are detected and matched in order to derive a transformation matrix to align the images to be combined. In order to guarantee a reduced rate of mismatching, a similarity definitude algorithm is employed. Furthermore, a smooth mosaic is obtained by the use of a weighted fusion process. Experimental results, which are conducted using indoor images, show that our approach can effectively obtain an accurate and seamless fused image.