Image Mosaics Algorithm Based on PSO and SIFT

Hong Wei Gao; Dong Li; Fu Guo  Chen

doi:10.4028/www.scientific.net/AMR.225-226.150

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 225-226Image Mosaics Algorithm Based on PSO and SIFT

Image Mosaics Algorithm Based on PSO and SIFT

Abstract:

A stable image mosaics algorithm based on PSO and SIFT is proposed in this paper. It adopts SIFT operator to extract corner point feature and finishes gray cross correlation matching, most false matches are eliminated by transcendental knowledge and constraint, then the transform matrix initial value between matches in two images is calculated, the optimal value of this matrix is acquired by PSO, finally, the image mosaics with no gap is accomplished. The experiment results prove the validity and practicability of the proposed method.

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Periodical:

Advanced Materials Research (Volumes 225-226)

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150-153

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.225-226.150

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Online since:

April 2011

Authors:

Hong Wei Gao, Dong Li, Fu Guo Chen

Keywords:

Image Mosaic, Particle Swarm Optimization Algorithm (PSO), SIFT Operator, Transformation Matrix

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