Research on the Tool Images Evaluation Based on Auto-Focus Technology

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Accurate and efficient image-clarity evaluation function which adopts digital image processing technology is the key to achieving automatic focusing. The different evaluation functions are adopted for different images. By converting color images to grayscale, and comparing them with the green component which extract from the color images, it is found that using the gray image can get a much better results and an evaluation function is built which is used for tool images. Experiments prove that the used algorithm has a good single peak, accuracy, stability, and fast speed.

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478-482

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November 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Li Qi, Feng Huajun, Xu Zhihai, Digital Image Sharpness Evaluation Function, Acta Photonica Sinica. 31 (2002) 736-738.

Google Scholar

[2] Kang Zongming, Zhang Li, Xie Pan, Implementation of an Automatic Focusing Algorithm Based on Spatial High Frequency Energy and Entropy, Acta Electronica Sinica. 31 (2003) 552-555.

Google Scholar

[3] Kehtarnavaza N, Oh H J, Development and Real-time Implementation of a Rule-based Auto-focus Algorithm, Real-time Imaging. 9 (2003) 197-203.

DOI: 10.1016/s1077-2014(03)00037-8

Google Scholar

[4] Fan Pan, Research on Algorithm for Auto-focus System Based on Digital Image Processing, Harbin Institute of Technology, (2009).

Google Scholar

[5] Rafael C. Gonzalez, Richard E. Woods, Gang Sa Lei Si Digital Image Processing, second ed., Bei Jing: Publishing House of Electronics Industry, (2007).

Google Scholar

[6] Zhou Xian, Jiang Wei, Auto-focus Algorithm Based on Image Edge Energy, Optical Technique. 32 (2006) 213-215, 218.

Google Scholar

[7] He Jie, Zhou Rongzhen, Hong Zhiliang, Modified Fast Climbing Search Auto-focus Algorithm with Adaptive Step Size Searching Technique for Digital Cameral, IEEE Transactions on Consumer Electronics. 49 (2003) 257-262.

DOI: 10.1109/tce.2003.1209511

Google Scholar