A Novel Seam Finding Method Using Downscaling and Cost for Image Stitching
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-10
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Seaming finding is an important step for creating panorama images because it smoothes away differences observed at boundaries between stitched images.
We propose an improved seam finding method in which we define a cost function to measure the discrepancies that boundary pixels cause.
We are also able to improve computing complexity by avoiding finding a seam over the whole area of overlapped region.
Instead, we use a downscaled version of overlapped area to approximate a seam and then interpolate the seam to the original region.
From experiments to generate panorama images, we compare our method with three other existing seam finding algorithms and observe that our method is able to produce better quality panorama image than the existing methods, while the processing time is comparable to those of the others.
American Psychological Association (APA)
Jeong, Jinwook& Jun, Kyungkoo. 2016. A Novel Seam Finding Method Using Downscaling and Cost for Image Stitching. Journal of Sensors،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1110497
Modern Language Association (MLA)
Jeong, Jinwook& Jun, Kyungkoo. A Novel Seam Finding Method Using Downscaling and Cost for Image Stitching. Journal of Sensors No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1110497
American Medical Association (AMA)
Jeong, Jinwook& Jun, Kyungkoo. A Novel Seam Finding Method Using Downscaling and Cost for Image Stitching. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1110497
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110497