Image Mosaicing Using Feature Detection Algorithms

Abstract

In most recent couple of decades, image processing specialists has been using image mosaicing as a testing field in real time applications. It has wide utilization in the 3D picture reproduction, field of satellite imaging, computer vision fields and a few therapeutic fields also. Movement recognition & tracking, mosaic-based localisation, resolution enhancement, generating substantial FOV, augmented reality, and so forth are also some of its application fields. In this exploration work, feature based image mosaicing procedure has been proposed. There are five essential steps in feature based procedures: feature extraction, feature matching, transformation model estimation, image re-sampling and transformation, and image blending. The achievement of image mosaicing can be accounted by the feature identification algorithms such as Harris corner detector, SURF, FAST and FREAK. But each of these algorithms has their own particular impediments and preferences as indicated by the applications concerned. The proposed strategy first compares the above mentioned four feature extraction algorithm on the basis of accuracy and computational time and determines FREAK to be the most optimum one and then utilizes this FREAK descriptor algorithm for feature detection. All the distinctive features detected in an image and the feature descriptors are shaped around the corners. Matching between the feature descriptors from both the images is done to achieve best closeness and all the features other than the ones with higher degree of resemblance are rejected. Now, the features with higher degree of resemblance are used for computing the transformation model and correspondingly, the warping of the image is done. The warping of the picture is done on a typical mosaic plane after estimation. The removal of the intensity seam in the neighbourhood of the boundary of the images and to modify the image grey levels at the junction joint to obtain a smooth transition between the images is the final step. Alpha blending technique is utilized for the purpose of image blending