30 October 2009 Design and optimization for microscope autofocus systems based on the analysis of video signals
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Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74952U (2009) https://doi.org/10.1117/12.832537
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
An autofocus system applied to microscope has been designed, which is based on the analysis of analog video signals' processing. A multi-feedback band-pass active filter retains high frequency components of analog video signals from CCD, then high frequency components that represent image details information are amplified and performed integral operation, which is defined as focusing measure. After A/D transformation a MCU controls the focusing procedure and drives a stepping motor to find focused-position. The selection of bandwidths of filter, selection of focusing windows, step-size in search and hill climbing algorithms are discussed and optimized to improve focus accuracy and shorten focus time.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peng Ge, Bangfu Mao, Huajun Feng, Zhihai Xu, and Qi Li "Design and optimization for microscope autofocus systems based on the analysis of video signals", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74952U (30 October 2009); doi: 10.1117/12.832537; https://doi.org/10.1117/12.832537
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