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Research of the Evaluation Function Based on Improved Neighborhood Difference Operator
- Source :
- Applied Mechanics and Materials. :1566-1569
- Publication Year :
- 2013
- Publisher :
- Trans Tech Publications, Ltd., 2013.
-
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.
Details
- ISSN :
- 16627482
- Database :
- OpenAIRE
- Journal :
- Applied Mechanics and Materials
- Accession number :
- edsair.doi.dedup.....24dd05ee77ec3841da26e62300ca5b83