제어로봇시스템학회:학술대회논문집
- 2002.10a
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- Pages.41.5-41
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- 2002
Feature Extraction for Vision Based Micromanipulation
- Jang, Min-Soo (Korea Univ.) ;
- Lee, Seok-Joo (Korea Univ.) ;
- Park, Gwi-Tae (Korea Univ.)
- Published : 2002.10.01
Abstract
This paper presents a feature extraction algorithm for vision-based micromanipulation. In order to guarantee of the accurate micromanipulation, most of micromanipulation systems use vision sensor. Vision data from an optical microscope or high magnification lens have vast information, however, characteristics of micro image such as emphasized contour, texture, and noise are make it difficult to apply macro image processing algorithms to micro image. Grasping points extraction is very important task in micromanipulation because inaccurate grasping points can cause breakdown of micro gripper or miss of micro objects. To solve those problems and extract grasping points for micromanipulation...
Keywords