首页> 外文会议>Fourth International Conference on Intelligent Computation Technology and Automation >Directional Sub-pixel Edge Detection Based on Limited Window Local Entropy
【24h】

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

机译:基于有限窗口局部熵的方向性亚像素边缘检测

获取原文

摘要

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:为了基于微结构零件的边缘检测实现精确的微视觉定位,提出了一种基于极限局部熵的像素级边缘点检测方法。从边缘点向渐变方向延伸2-3个像素,以构造边缘过渡区的3三次样条插值函数。利用函数推导得到子像素坐标的浮动值,然后根据定向子像素坐标的定位原理对子像素坐标进行定位。最后以精磨标准量块和LIGA微弹簧为例,采用传统的梯度边缘检测方法和本文提出的方法实现图像边缘检测,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。像素级边缘定位精度还是子像素边缘定位精度都远远高于微型装配系统所需的定位精度(5μm)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号