Fast auto-focusing based on partial image characteristics

Focusing is started with partial image characteristics and its region attained through Sampling Restraint Hough Transform. Both rough and fine focusing procedures are used to avoid partial interference caused by noise; the values of pixels in the 8-neighbouring area of each point are used in the improved gradient gray square function used as sharpness function; searching step is changed at real time in both rough and fine searching processes to enhance the focusing sensitivity; Field Programmable Gate Array is used to expedite the calculation of sharpness function. Experimental results indicate this way of focusing features fine singe peak, fast response, and good robustness; the caulcualtion of one frame image takes less than 20 ms, and auto-focusing is possible in a a range of 200μm with a uncertainty of less than 1μm.

[1]  Ku Chin Lin Auto Focusing Under Microscopic Views , 2007, 2007 IEEE Workshop on Signal Processing Systems.

[2]  N. Kehtarnavaz,et al.  A Real-time Continuous Automatic Focus Algorithm for Digital Cameras , 2006, 2006 IEEE Southwest Symposium on Image Analysis and Interpretation.

[3]  Nasser Kehtarnavaz,et al.  Development and real-time implementation of a rule-based auto-focus algorithm , 2003, Real Time Imaging.

[4]  Zhihai Xu,et al.  Auto-focus apparatus with digital signal processor , 2005, SPIE/COS Photonics Asia.

[5]  Wu Zhenfeng Autofocus technique of optical microscope , 2000 .

[6]  Tae-Hyoung Park,et al.  A Fast Focusing Method for CCM Auto-Focusing Handlers , 2006, 2006 IEEE International Conference on Robotics and Biomimetics.

[7]  Joonki Paik,et al.  A fully digital auto-focusing system based on image restoration , 1997, TENCON '97 Brisbane - Australia. Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications (Cat. No.97CH36162).

[8]  H. Zen,et al.  A new optlcal detector for a high-speed AF control , 1996, 1996. Digest of Technical Papers., International Conference on Consumer Electronics.

[9]  Homer H. Chen,et al.  Robust focus measure for low-contrast images , 2006, 2006 Digest of Technical Papers International Conference on Consumer Electronics.

[10]  Xie Li-li Automatic focusing technique based on gray scale difference method , 2003 .

[11]  Xie Pan Implementation of an Automatic Focusing Algorithm Based on Spatial High Frequency Energy and Entropy , 2003 .

[12]  Lining Sun,et al.  A New Auto-focusing Algorithm for Optical Microscope Based Automated System , 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

[13]  Nasser Kehtarnavaz,et al.  Real-Time Implementation Issues in Passive Automatic Focusing for Digital Still Cameras , 2005, Journal of Imaging Science and Technology.

[14]  Seong-Ik Jang,et al.  A fuzzy-control processor for automatic focusing , 1994 .

[15]  Guo Ling Using the minimum entropy as a criterion for the in-orbit automatic focussing of space solar telescope , 2003 .

[16]  Ke Han,et al.  A New Auto-focusing Method Based on the Center Blocking DCT , 2007, Fourth International Conference on Image and Graphics (ICIG 2007).

[17]  J. Baina,et al.  Automatic focus and iris control for video cameras , 1995 .