| Summary: | 碩士 === 中原大學 === 機械工程研究所 === 97 === Microscope is a fundamental instrument for automated biomedical observation and optical inspection. The auto-focusing function of the microscope is a basic demand. Reliable auto-focusing technology can find the best focus position quickly and efficiently. This simplifies user involvement in the examination of a number of specimens as repeatability is better with auto-focusing.
Sharpness is commonly used method to find focus position in microscope auto-focusing technology. The existing algorithms are often restricted to their specific target and can not be effectively applied at different microscope systems. Furthermore, execution speed is unable to provide the demand of high-speed focus. This paper presents a new sharpness algorithm, combining one-dimensional Hilbert transform and Pearson correlation. It can focus the distinct image with high speed and accurately at versatile microscopes.
This study has considered four criterions, accuracy, range, number of false maxima, FWHM, and execution time to estimate the performance of the proposed algorithm. Experimental results show that the developed algorithm provides a good performance in focusing with high speed, accuracy, consistency and the ability of anti-noise in comparison to adoption of other seven algorithms.
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