KEYWORDS: Microscopes, Control systems, Digital cameras, Objectives, Computing systems, Process control, Image processing, Digital image processing, Imaging systems, Video processing
A microscope auto-focusing system using the self-adaptive mountain-climbing search (SAMCS) method is introduced
based on personal computer (PC) control. It mainly consists of four parts: the microscope, the digital camera to get the
video images, the mechanical part of step motor and the computer to control the focusing process. The precision of the
auto-focusing system is to some extent improved through high-resolution color images acquired by the digital camera as
well as high subdivision of the step motor drive. An improved searching method--the SAMCS method is presented here.
It can effectively improve the searching efficiency while guaranteeing the precision of the auto-focusing system. Based
on the normal mountain-climbing search (MCS) algorithm, the SAMCS method takes full consideration of omnidistance
concept and local extreme point influences. Thereby it can adaptively adjust the searching range according to different
environmental conditions, and has quite good robustness. This feature mainly has two advantages. First, this method is
much more exact than the normal mountain-climbing, which can not avoid local fluctuations. Second, it is much faster
than the method of only using omnidistance searching to avoid local fluctuations. At the same time, we also take
evaluation function and region selection into consideration to reach a faster and more accurate focusing result. And the
experimental result demonstrates a good efficiency and accuracy.
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