Research of the Evaluation Function Based on Improved Neighborhood Difference Operator
2013 ◽
Vol 433-435
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pp. 358-361
Keyword(s):
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.
2013 ◽
Vol 427-429
◽
pp. 1566-1569
Keyword(s):
2014 ◽
Vol 556-562
◽
pp. 6034-6037
2003 ◽
Vol 16
(8)
◽
pp. 880-883
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2014 ◽
Vol 541-542
◽
pp. 804-807
2020 ◽
pp. 104990912097156
Keyword(s):