DocumentCode
2964024
Title
Directional Sub-pixel Edge Detection Based on Limited Window Local Entropy
Author
Qiang, Wang ; Zhijing, Zhang ; Xin, Ye ; Xin, Jin ; Zhi, Zhou
Author_Institution
Sch. of Mech. & Vehicular, Beijing Inst. of Technol., Beijing, China
Volume
2
fYear
2011
fDate
28-29 March 2011
Firstpage
523
Lastpage
526
Abstract
To realize precise micro-vision positioning based on edge detection of micro-structure parts, a pixel-level edge points detection method based on limit local entropy was proposed. 2-3 pixel were extended in the gradient direction to both sides from the edge points to construct the 3 cubic spline interpolation function of edge transition zone. Using function derivation to obtain the floating value of sub-pixel coordinates, then, sub-pixel coordinate was located according to the positioning principle of directional sub-pixel coordinates. Finally, the fine grinding standard gauge block and LIGA micro-spring were taken as example, using traditional gradient edge detection and the method proposed in this paper to realize image edge detection, and achieve the width measurement. The results show that the edge positioning accuracy of the method proposed in this paper is higher than the traditional gradient edge detection method. And whether the pixel level edge positioning accuracy or sub-pixel edge positioning accuracy are much higher than the positioning accuracy required of micro-assembly systems (5μm).
Keywords
edge detection; entropy; interpolation; microassembling; production engineering computing; LIGA microspring; directional subpixel edge detection method; edge transition zone spline interpolation function; fine grinding standard gauge block; limited window local entropy; microassembly systems; microstructure parts; microvision positioning; width measurement; Accuracy; Entropy; Image edge detection; Optical imaging; Optical sensors; Pixel; Springs; Limited window; Local entropy; Optical properties; Sub-pixel edge detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location
Shenzhen, Guangdong
Print_ISBN
978-1-61284-289-9
Type
conf
DOI
10.1109/ICICTA.2011.416
Filename
5750941
Link To Document