| Título: | Class Variance Based Instruction function for Microscope Auto-focus |
| Autores: |
Deng, Lifei; Jilin University Shi, Hongwei; Changchun University of Technology Shi, Yaowu; Jilin University Zhu, Lanxiang; Changchun Architecture And Civil engineering College |
| Fecha: | 2014-04-01 |
| Publicador: | TELKOMNIKA: Indonesian journal of electrical engineering |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: | Auto-focus; Ostu; instruction function; Optical microscope |
| Descripción: | 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. |
| Idioma: | No aplica |