A novel sub-pixel edge detection for micro-parts manipulation

Authors:
Min Wang;Xiangjin Zeng;Xinhan Huang
Affiliations:
Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China;Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China;Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
Venue:
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Year:
2009

Citing 5
Cited 0

Subpixel Measurements Using a Moment-Based Edge Operator

IEEE Transactions on Pattern Analysis and Machine Intelligence
An Operator Which Locates Edges in Digitized Pictures

Journal of the ACM (JACM)
A Local Visual Operator Which Recognizes Edges and Lines

Journal of the ACM (JACM)
Hybrid Detectors for Subpixel Targets

IEEE Transactions on Pattern Analysis and Machine Intelligence
Subpixel edge localization and the interpolation of still images

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a novel sub-pixel edge detection and center localization algorithm to improve the resolution and accuracy for micro-assembly systems. There are three steps to realize the algorithm. First the invariant moment is used to describe the feature of micro-parts and the edge of the micro-parts is extracted at pixel level by using Canny operator. Secondly, the image information of gradient direction from the edge neighborhood is employed to locate the edge of the micro-parts at sub-pixel level. Last, apply least squares ellipse to get the position of the parts centers. Experiment results show that the presented algorithm could achieve higher location accuracy and consume less time.