IMAGE MOSAICING TECHNIQUE – A BRIEF REVIEW

The confinement of digital PC has presented to the civilization a machine that is much more prevailing than human beings in mathematical calculation. The admissible question leading towards the human capability of processing non-numerical information received from the environment as-well-as society of reasoning and decision making based on non-numerical data could be amalgamated in the machine with identical or more efficiency. The motivation behind the concept carries the problem to automatically estimate correspondences of feature points between two images while avoiding mismatches is a fundamental problem in computer vision and has been lengthily considered for a duo of periods. The process of Image Mosaicing is divided into four simple stages (viz. feature detection, feature matching, transformation, and image fusion), and all these stages can be executed using various algorithms. In this work, the process of feature detection is achieved using Harris Corner Detection algorithm, which is our method of choice because of its advantages like consistency of detection, localization, stability, and low convolution.