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Analysis of Similarity Measure For Image Registration

Author(s):

Patel Ankitkumar Baldevbhai , Sankalchand Patel College of Engineering,Visnagar; Manish I. Patel, Sankalchand Patel College of Engineering,Visnagar

Keywords:

image registration, similarity measure

Abstract

In this paper, Image registration is the fundamental task used to match two or more partially overlapping images taken into one panoramic image comprising the whole scene. It is a fundamental image processing technique and is very useful in integrating information from different sensors, finding changes in images taken at different times, inferring three-dimensional information from stereo images, and recognizing model-based objects. Choosing a suitable similarity measure for image registration is always challenging task. In image registration, the images may consist of noise, cloud, highly undulating terrains etc. Choice of similarity measure plays an important role in image registration task.classified according to their nature area-based and feature-based similarity measure and according to four basic steps of image registration procedure: feature detection, feature matching, mapping Function design, and image transformation and resampling.Main contributions, advantages, and drawbacks of the methods are mentioned in the paper. Problematic issues of image registration and outlook for the future research are discussed too. The major goal of the paper is to provide a comprehensive reference source for the researchers involved in image registration, regardless of particular application areas. Choosing a suitable similarity measure for image registration is always challenging task.In image registration,the images may consist of noise,cloud,highly undulating terrains etc.Choice of similarity measure plays an important role in image registration task.classified according to their nature area-based and feature-based similarity measure Similarity measure are mutual information,normalise mututual information,jaccard co-efficient,partial hauss-drauff distance,image quality index,cross commulative resuadal entropy,normalise cross correlation,encludian distance are study and between two image anlysis similarity measure w.r.t. time and various parameters.

Other Details

Paper ID: IJSRDV2I3103
Published in: Volume : 2, Issue : 3
Publication Date: 01/06/2014
Page(s): 245-249

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