Robust autofocusing in microscopy using particle swarm optimization

Issam M. Bahadur, James K. Mills

نتاج البحث

7 اقتباسات (Scopus)

ملخص

An autofocusing procedure is routinely performed under a microscope to maintain micro-objects within the depth of field of an objective lens. The aim of this procedure is to search for an optimum image with sharp edges of the outlines and features of the micro-objects by tuning the position of the objective lens. This paper describes a new robust autofocusing search algorithm based on bare-bones particle swarm optimization (BBPSO). The proposed search algorithm has been validated experimentally using sharpness analysis based on image variance.

اللغة الأصليةEnglish
عنوان منشور المضيف2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013
الصفحات213-218
عدد الصفحات6
المعرِّفات الرقمية للأشياء
حالة النشرPublished - 2013
منشور خارجيًانعم
الحدث2013 10th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013 - Takamastu
المدة: أغسطس ٤ ٢٠١٣أغسطس ٧ ٢٠١٣

سلسلة المنشورات

الاسم2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013

Other

Other2013 10th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013
الدولة/الإقليمJapan
المدينةTakamastu
المدة٨/٤/١٣٨/٧/١٣

ASJC Scopus subject areas

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