• Priyanka Mishra
• Amit Kumar Pandey

Image Mosaicing is a method of assembling multiple overlapping images of the same 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 obtaining a mosaiced image. This is practised a developing field. Recent years have seen quite a lot of advancement in the field. Our work is based on feature based approach of image mosaicing. The steps in image mosaic consist of feature point detection, feature point descriptor extraction and feature point matching. Feature extraction is an Image mosaicing technique which is done by using various corner detection algorithm. RANSAC algorithm is applied to eliminate variety of mismatches and acquire transformation matrix between the images. The input image is transformed with the right mapping model for image stitching. Therefore, this paper proposes an algorithm for mosaicing two images efficiently using RANSAC feature matching method and then image transformation, warping and by blending methods. Importance of Image mosaicing can be seen in the field of medical imaging, computer vision, data from satellites, military automatic target recognition.

image mosaicing, image Warping, Homography, RANSAC, feature detection

"Image-Based Rendering using Image Warping", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 2, page no.154-163, February-2018, Available :http://www.jetir.org/papers/JETIR1802022.pdf

"Image-Based Rendering using Image Warping", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 2, page no. pp154-163, February-2018, Available at : http://www.jetir.org/papers/JETIR1802022.pdf