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 :
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