Abstract Image mosaicing is an effective means of constructing a single seamless image by aligning multiple partially overlapped images. Over the years, the research attention on mosaicing has increased a lot due to the growing applications and subsequently, many algorithms related to mosaicing and its contributing steps have come into existence. Though, the varied approaches for mosaic generation are effective, several difficulties arise in each step of mosaicing which need to be addressed specifically. The aim of this review is to provide an insight into the existing mosaicing algorithms, along with their merits and shortcomings. Additionally, the manuscript provides a classification of these algorithms based on their domain of processing, application, image type, and visual attributes. Furthermore, a comparison among various mosaicing methods is presented to find out which algorithm works best for a particular application and image type. Finally, the paper is concluded with a highlight on future research directions.
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- Publication year
2019
- Venue
Image and Vision Computing
- Publication date
2019-09-01
- Fields of study
Computer Science
- Identifiers
- External record
- Source metadata
Semantic Scholar
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