A High Speed Auto-focusing Algorithm for Optical Microscope
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 simp...
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ndltd-TW-097CYCU54890152015-10-13T14:53:13Z http://ndltd.ncl.edu.tw/handle/08129538869899626609 A High Speed Auto-focusing Algorithm for Optical Microscope 光學顯微鏡高速自動對焦演算法 Chin-Tao Tseng 曾志濤 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. Ming Chang 章明 2009 學位論文 ; thesis 72 zh-TW |
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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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author2 |
Ming Chang |
author_facet |
Ming Chang Chin-Tao Tseng 曾志濤 |
author |
Chin-Tao Tseng 曾志濤 |
spellingShingle |
Chin-Tao Tseng 曾志濤 A High Speed Auto-focusing Algorithm for Optical Microscope |
author_sort |
Chin-Tao Tseng |
title |
A High Speed Auto-focusing Algorithm for Optical Microscope |
title_short |
A High Speed Auto-focusing Algorithm for Optical Microscope |
title_full |
A High Speed Auto-focusing Algorithm for Optical Microscope |
title_fullStr |
A High Speed Auto-focusing Algorithm for Optical Microscope |
title_full_unstemmed |
A High Speed Auto-focusing Algorithm for Optical Microscope |
title_sort |
high speed auto-focusing algorithm for optical microscope |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/08129538869899626609 |
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