With the evolution of the field of computational vision, image stitching technology has been widely penetrated into a variety of application scenarios, such as panorama image production and telemedicine image integration, and its influence can not be underestimated. The core intention of this paper is to explore and optimize the image alignment algorithm based on vertex features, so as to achieve excellent image fusion results. Firstly, we review the development of image stitching technology and the existing corner detection algorithms, and select several classical corner detection methods for comparison and analysis. On this basis, this paper proposes an improved feature matching algorithm, which uses corner features for image registration, so as to achieve seamless image stitching. Experiments show that the proposed algorithm not only improves the accuracy of image registration, but also improves the quality of Mosaic images. The experimental results show that the optimized algorithm has better robustness and speed when processing image Mosaic tasks in complex scenes. The research results of this paper are of great significance to promote the practical application of image stitching technology, and provide a new idea for future research.

Haoyu Ma. Image Mosaic algorithm based on feature matching and its optimization. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 11: 72-77. https://doi.org/10.25236/AJCIS.2024.071110.

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