A fast auto-focusing method of microscopic imaging based on an improved MCS algorithm
An improved "three steps" mountain-climb searching (MCS) algorithm is proposed which is applied to auto-focusing for microscopic imaging accurately and efficiently. By analyzing the performance of several evaluation functions, the variance function and the Brenner function are synthesized...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
World Scientific Publishing
2015-09-01
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| Series: | Journal of Innovative Optical Health Sciences |
| Subjects: | |
| Online Access: | http://www.worldscientific.com/doi/pdf/10.1142/S1793545815500200 |
| _version_ | 1818030458311540736 |
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| author | Guangkai Fu Yiping Cao Mingteng Lu |
| author_facet | Guangkai Fu Yiping Cao Mingteng Lu |
| author_sort | Guangkai Fu |
| collection | DOAJ |
| description | An improved "three steps" mountain-climb searching (MCS) algorithm is proposed which is applied to auto-focusing for microscopic imaging accurately and efficiently. By analyzing the performance of several evaluation functions, the variance function and the Brenner function are synthesized as a new evaluation function. In the first step, a self-adaptive step length which is much dependent on the reciprocal of the evaluation function value at the beginning position of climbing is used for approaching the halfway up the mountain roughly. Secondly, a fixed moderate step length is applied for approaching the mountaintop of the variance function as closer as possible. Finally, a fine step is employed for reaching the exact mountaintop of the Brenner function. The microscope auto-focusing experiments based on the proposed algorithm for blood smear detection have been carried out comprehensively. The results show that the improved algorithm can not only guarantee the precision to get clear focal images, but also improve the auto-focusing efficiency. |
| first_indexed | 2024-12-10T05:35:54Z |
| format | Article |
| id | doaj.art-6c6fa7a0935c49f3b348c02d56ae1ff1 |
| institution | Directory Open Access Journal |
| issn | 1793-5458 1793-7205 |
| language | English |
| last_indexed | 2024-12-10T05:35:54Z |
| publishDate | 2015-09-01 |
| publisher | World Scientific Publishing |
| record_format | Article |
| series | Journal of Innovative Optical Health Sciences |
| spelling | doaj.art-6c6fa7a0935c49f3b348c02d56ae1ff12022-12-22T02:00:24ZengWorld Scientific PublishingJournal of Innovative Optical Health Sciences1793-54581793-72052015-09-01851550020-11550020-1010.1142/S179354581550020010.1142/S1793545815500200A fast auto-focusing method of microscopic imaging based on an improved MCS algorithmGuangkai Fu0Yiping Cao1Mingteng Lu2Department of Optical Electronics, Sichuan University, Chengdu 610064, P. R. ChinaDepartment of Optical Electronics, Sichuan University, Chengdu 610064, P. R. ChinaDepartment of Optical Electronics, Sichuan University, Chengdu 610064, P. R. ChinaAn improved "three steps" mountain-climb searching (MCS) algorithm is proposed which is applied to auto-focusing for microscopic imaging accurately and efficiently. By analyzing the performance of several evaluation functions, the variance function and the Brenner function are synthesized as a new evaluation function. In the first step, a self-adaptive step length which is much dependent on the reciprocal of the evaluation function value at the beginning position of climbing is used for approaching the halfway up the mountain roughly. Secondly, a fixed moderate step length is applied for approaching the mountaintop of the variance function as closer as possible. Finally, a fine step is employed for reaching the exact mountaintop of the Brenner function. The microscope auto-focusing experiments based on the proposed algorithm for blood smear detection have been carried out comprehensively. The results show that the improved algorithm can not only guarantee the precision to get clear focal images, but also improve the auto-focusing efficiency.http://www.worldscientific.com/doi/pdf/10.1142/S1793545815500200Auto-focusingevaluation functionmountain-climb searching algorithmimage processing |
| spellingShingle | Guangkai Fu Yiping Cao Mingteng Lu A fast auto-focusing method of microscopic imaging based on an improved MCS algorithm Journal of Innovative Optical Health Sciences Auto-focusing evaluation function mountain-climb searching algorithm image processing |
| title | A fast auto-focusing method of microscopic imaging based on an improved MCS algorithm |
| title_full | A fast auto-focusing method of microscopic imaging based on an improved MCS algorithm |
| title_fullStr | A fast auto-focusing method of microscopic imaging based on an improved MCS algorithm |
| title_full_unstemmed | A fast auto-focusing method of microscopic imaging based on an improved MCS algorithm |
| title_short | A fast auto-focusing method of microscopic imaging based on an improved MCS algorithm |
| title_sort | fast auto focusing method of microscopic imaging based on an improved mcs algorithm |
| topic | Auto-focusing evaluation function mountain-climb searching algorithm image processing |
| url | http://www.worldscientific.com/doi/pdf/10.1142/S1793545815500200 |
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