Digital images may be considered as collection of pixels. If a single image is divided into more than one part, then these subparts are treated as fragments for an image.Joining of 2D fragments of an in image means we have to reassemble these image’s fragments. The joining of fragments to reconstruct images and objects is a problem associated in several applications, like archeology, medicine, art restoration, and forensics.We mainly focused on 2D Image Reconstruction by joining two 2D fragments. This approach is based on the information generated from the boundary and from the color contents of the two fragments. Local curvature is calculated to obtain transformation independent coordinates. Based on this information comparison is done to obtain maximum matching parts among fragments. Finally longest matching parts can be joined to obtain single image.
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