P. Hemanth Kumar , G. Mani 2 2 ( April - June ) Image stitching is a dynamic and evolving area that merges multiple photos of the same subject to create a seamless highresolution panoramic image It is a crucial component of computer vision as well as computer graphics This paper focuses on the featurebased paradigm which is useful for finding prominent features in images in order to create meaningful correspondences This approach leverages advanced algorithms such as SURF SpeededUp Robust Features and RANSAC Random Sample Consensus to detect key points and estimate geometric transformations between image pairs respectively By combining the featurebased method with the SURF and RANSAC algorithms in a strategic way picture stitching systems can handle issues with viewpoint scale and content variations and produce an intuitive mix of panoramic imagery Copyright (c) World Journal of Pharmaceutical Seiences. All rights reserved 2026