Feature Based Mosaicing of Images
Deepali Bhadane1, K. N. Pawar2
1Deepali Bhadane, Department of Electronics and Communication Engineering, S.S.V.P.S’s B.S.D. College of Engineering, Dhule, (Maharashtra) – 424005, India.
2Prof. K. N. Pawar, Department of Electronics and Communication Engineering, S.S.V.P.S’s B.S.D. College of Engineering, Dhule, (Maharashtra) – 424005, India
Manuscript received on July 05, 2016. | Revised Manuscript received on July 09, 2016. | Manuscript published on September 05, 2016. | PP: 6-11 | Volume-6 Issue-4, September 2016. | Retrieval Number: D2892096416/2016©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image Mosaicing is a process of assembling the multiple overlapping images of the identical scene into a larger image. The output of the image mosaic will be the union of two input images. Image – mosaicing algorithms are used for gaining a mosaiced image. In this paper we have described the feature based mosaicing of two images. Feature based image mosaicing is the combination of corner detection, corner matching, motion parameter estimation and image stitching .For corner detection there are various algorithms – HARRIS, SUSAN,CSS. This corner detection algorithm produces an efficient and informative output mosaiced image. After corner detection RANSAC algorithm is used for Homography. After that image warping and image blending is done. Importance of Image Mosaicing can be seen in the field of medical imaging, computer vision, data from satellite, military automatic target recognition. In this paper we compare result CSS, SUSAN, HARRIS.
Keywords: Image mosaicing, Feature Extraction, Image registration, corner detection using HARRIS,SUSAN,CSS algorithm, Homography using RANSAC, Image warping, Image Blending