Image Stitching Based On SIFT and MVSC
Shubham Gaikwad(Student) ,Prof. Sneha Deo(Guide) Department of Information Technology, NBN Sinhgad School of Engineering email@example.com Department of Information Technology, NBN Sinhgad School of Engineering firstname.lastname@example.org Abstract— Based on scale-invariant feature transform (SIFT) andmean seamless cloning (MVSC), an image to stitching algorithm ispresent, to improve the quality of the panoramic stitchingimage. Using SIFT algorithm to extract between the benchmarkimages (await matched image) and follow-up of the feature points, identifying locations and directions, using 128 dimensional vectors to describe the features point. SIFT algorithm to provide benchmark images and follow-up images to determine the source of cloning domain and target the cloning domain of the MVSC. Using the mean value coordinates to achieve the pixel to interpolate from the source of cloning domain to the target cloning domain. Finally, using MVSC algorithm to achieve the two images of stitching. Experiment results shows this method with regard to image rotation, perspective changes and image scaling to have a good stitching results, stitching image is complete information, to the quality of the image is high.
Keywords- Scale- Invariant Feature transform (SIFT), image
Matching, mean value seamless cloning (MVSC), image stitching.
I.INTRODUCTION Image stitching technology is two or more two to have the same scene and there is overlapping