Implementation of Grid - Block Based Image Mosaicing Approach and Comparative Analysis with SIFT Approach

1388 All Rights Reserved © 2013 IJSETR  Abstract— Image Mosaicing is one of the key areas of image processing. It is used for different kinds of images like panaromic ,homographic ,satellite and microscopic images .In this paper, we proposed and implemented a Grid based approach for image mosaicing which not only includes more features but also improves accuracy over previous methods .Previously, image mosaicing algorithms developed includes less features hence, not able to produce better quality of images. Geometry, object, homograph and texture based features are extracted which is termed as Feature Extraction. In this method, whole image is divided into frames or grids and later matching of various points is done by Matcher Algorithm based on multiple common features. This is a key process of image matching. Later a VERIFIER algorithm is used for verification. RANSAC method is used at last for image stitching. Hence ,this paper shows the implementation and results which tells hoe this algorithm developed is better that previous image mosaicing methodologies and comparative analysis is done with SIFT image mosaicing approach. It can be further used in medical apparatus devices for capturing microscopic images and also high dimension images such as satellite images.