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Directional Sub-pixel Edge Detection Based on Limited Window Local Entropy

机译:基于有限窗口本地熵的定向子像素边缘检测

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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).
机译:为了实现基于微观结构部件的边缘检测的精确微视觉定位,提出了一种基于极限局部熵的像素级边缘点检测方法。将2-3像素从边缘点沿梯度方向延伸到两侧,以构建边缘过渡区的3个立方样条插值函数。使用函数推导来获得子像素坐标的浮动值,然后,根据方向子像素坐标的定位原理定位子像素坐标。最后,使用传统的梯度边缘检测和本文提出的方法以实现图像边缘检测,实现微型磨削标准规格块和LIGA微弹簧,以实现图像边缘检测,实现宽度测量。结果表明,本文提出的方法的边缘定位精度高于传统的梯度边缘检测方法。和像素级边缘定位精度或子像素边缘定位精度远高于微组装系统(5μm)所需的定位精度。

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