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
Link To Document :
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