Class Variance Based Instruction function for Microscope Auto-focus

Lifei Deng (Jilin University)
Hongwei Shi (Changchun University of Technology)
Yaowu Shi (Jilin University)
Lanxiang Zhu (Changchun Architecture And Civil engineering College)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 12, No 4: April 2014

This paper proposes an auto-focus Instruction function. The function is derived from Ostu segmentation. It uses class variance of segmentation result to instruct auto-focus process. Compare with the exist functions, class variance function need a small calculation mount. It is immunity to jam coming from camera and other inspection. It responses in a wide object distance range. And the value changes in a large range. All this features make this function is most flexible for microscope real-time auto-focus process. This paper analyzes the function and compares it to some traditional function. All the data are based practical instrument. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4784