DocumentCode
1901054
Title
Automated Seamline Detection in Orthophoto Mosaicking Using Improved Snakes
Author
Wang, Lin ; Ai, Haibin ; Zhang, Li
Author_Institution
Inst. of Photogrammetry & Remote Sensing, Chinese Acad. of Surveying & Mappping, Beijing, China
fYear
2010
fDate
25-26 Dec. 2010
Firstpage
1
Lastpage
4
Abstract
When mosaicking two adjacent orthophotos, the transition from one orthophoto to the other is cannot be seen. The requirements of such an optimal seamline include high color similarity and high texture similarity. In this paper, a novel method integrated snakes and bresenham is presented. The calculation of photometric energy in the snake model considers not only the discrete points, but all the points that the snake passes which found by bresenham. This solves the local optimum problem existed in the snake model to some extent. In a hierarchical strategy, a proper seamline is delineated fully automatically. The experiments carried out in this paper show the promising potential of this schema.
Keywords
image colour analysis; image segmentation; image texture; object detection; automated seamline detection; color similarity; improved snakes; orthophoto mosaicking; texture similarity; Algorithm design and analysis; Buildings; Greedy algorithms; Heuristic algorithms; Image color analysis; Pixel; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location
Wuhan
ISSN
2156-7379
Print_ISBN
978-1-4244-7939-9
Electronic_ISBN
2156-7379
Type
conf
DOI
10.1109/ICIECS.2010.5678345
Filename
5678345
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