Grid Based Multiple Features Based On Image Mosaicing
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 2
Abstract
Image mosaicing is an effective means of constructing a single panoramic image from a series of snapshots taken in different viewing angles.Image mosaicing has been practiced in several computer vision and scientific research areas..Various image mosaicing algorithms have been developed to solve problems like misregisteration of image. Furthermore, a majority of the previous evaluation methodologies lack a sufficient number of performance metrics, while others suffer from complication. Therefore, this paper proposes an evaluation method Grid based multiple features (GBMF) to assess the performance of previous mosaicing algorithms. Firstly we divide image into grid or matrix form. This method involves five methods. It includes feature extraction with geometrical portions of image, object oriented features, texture features, homographic features and SIFT feature extraction methods.Later, image features are matched and redrawn where a verifier algorithm checks the various features registration. Then Image stitching is performed using RANSAC algorithm. Such a Panoramic image is more accurate and less complex in comparison to previous techniques.
Authors and Affiliations
Richa Shukla , Rohit Raja
Keywords
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