Research of the Evaluation Function Based on Improved Neighborhood Difference Operator

Cheng Yun Wang; Long  Ye

doi:10.4028/www.scientific.net/AMM.433-435.358

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435Research of the Evaluation Function Based on...

Research of the Evaluation Function Based on Improved Neighborhood Difference Operator

Abstract:

Automatic focusing is one of the key technology of robot vision and digital video-systems, while play an important role in determining the quality of image. The performance of focusing depends on whether the evaluation function has unbiasedness, unimodality and noise resistance. This paper proposes a new evaluation function algorithm by improving image clarity-evaluation function of the traditional neighborhood difference operator. Compared with the existing algorithm, the results of experiments demonstrated the new algorithm has a good sensitivity, timeliness, good anti-noise ability and stability during the automatic focusing process.

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Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

358-361

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.358

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Online since:

October 2013

Authors:

Cheng Yun Wang, Long Ye

Keywords:

Automatic Focusing, Evaluation Function, Neighborhood Difference Operator

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