TY - GEN
T1 - Directional sub-pixel edge detection based on limited window local entropy
AU - Qiang, Wang
AU - Zhijing, Zhang
AU - Xin, Ye
AU - Xin, Jin
AU - Zhi, Zhou
PY - 2011
Y1 - 2011
N2 - 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).
AB - 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).
KW - Limited window
KW - Local entropy
KW - Optical properties
KW - Sub-pixel edge detection
UR - http://www.scopus.com/inward/record.url?scp=79955990072&partnerID=8YFLogxK
U2 - 10.1109/ICICTA.2011.416
DO - 10.1109/ICICTA.2011.416
M3 - Conference contribution
AN - SCOPUS:79955990072
SN - 9780769543536
T3 - Proceedings - 4th International Conference on Intelligent Computation Technology and Automation, ICICTA 2011
SP - 523
EP - 526
BT - Proceedings - 4th International Conference on Intelligent Computation Technology and Automation, ICICTA 2011
T2 - 2011 4th International Conference on Intelligent Computation Technology and Automation, ICICTA 2011
Y2 - 28 March 2011 through 29 March 2011
ER -