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《Journal of Electronic Measurement and Instrument》 2007-05
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Auto-focusing Algorithm Based on Most Gradient and Threshold

Gao Zan Jiang Wei Zhu Kongfeng(School of Information Science and Engineering, Shandong University, Jinan, 250100, China)  
At present, there are a lot of auto-focusing algorithms based on gradient both in domestic and oversea. However, when they calculate the gradient, they get the gradient value only in appointed fixed directions, but the real gradient direction may not be the appointed direction, so there is some error. In addition, when the images are polluted by noise, the stability of the auto-focusing algorithm is reduced. In order to solve these problems, an auto-focusing algorithm based on the most gradient and threshold is proposed. At first, we calculate the gradients in all possible directions, then compare all of the possible gradients, and choose the largest gradient as the result. At the same time, in order to improve the precision and stability of auto-focusing algorithm, we introduce another threshold parameter. Through careful experiments, we find out that the algorithm has the characteristics such as good unbiased characteristic, strong single peak feature, high sensitivity and good stability and so on.
【Fund】: 山东省自然科学基金资助项目(编号:Y2005G08)
【CateGory Index】: TP391.41
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