A Comparative Study: Evaluating Mosaic Generation and Utilization

This study investigates the creation of large-scale images through mosaic construction and evaluates the outcomes thereof. The initial phase of the study involves a comprehensive comparison of algorithms commonly employed in mosaic creation, focusing on their respective strengths and weaknesses in terms of precision and computational efficiency. The experimentation is conducted on a dataset comprising 150 images obtained from SenseFly's aerial surveys. Results reveal that the utilization of the SURF algorithm for mosaic creation yields the highest precision, with a matching value of 30.6381 and a processing time of 605.5 seconds, surpassing other algorithms. However, employing the SURF algorithm for processing entire images poses challenges in terms of computational complexity, processing time, and memory usage. To address this, a methodology is proposed to selectively apply algorithms based on segment characteristics, enhancing precision and reducing processing time. Experimental results demonstrate that employing this approach reduces processing time to 120.2 seconds and minimizes error, resulting in superior outcomes when utilizing the SURF algorithm for the entire dataset.