Image Mosaicing Based on Improved Optimal Seam-Cutting

Abstract

To solve the problems of seams or ghosting caused by large exposure differences or moving objects in an image mosaic, this paper presents an image mosaicing method based on improved optimal seam-cutting. First, the feature points are extracted by the SIFT algorithm, and the false matching points are removed by the RANSAC algorithm. Next, a new energy function is constructed to perform optimal seam-cutting according to a dynamic programming algorithm that includes a colour and brightness data guarantee item in the YUV colour space and an eight-direction structural information guarantee item based on the Robinson operator. Finally, an improved weighted average method is proposed to fuse the images. The experimental results show that the method can make the transition of the image overlap area smoother and more natural, effectively eliminate the seam and ghosting and improving the image mosaic's quality.

Keywords

• Image mosaicing
• ghosting
• optimal seam-cutting
• YUV space
• Robinson operator