An efficient image processing algorithm for high-level skill acquisition

J. M. González-Linares, N. Guil, P. Pérez, M. Ehrenmann, R. Dillmann
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引用次数: 10

Abstract

This paper describes the set-up of the image processing system installed at the IPR in Karlsruhe. It will serve for sensor device in the programming by demonstration field. As a first application example, it is used as source for images in the demonstration of a bag packaging task. A detection algorithm that finds positions of infusion bags is presented. It was developed at the Department of Computer Architecture of the University of Malaga, and uses a straight line Hough transform after the application of a Canny filter. Then, the position of the rubber caps of the bags are located by a binarization technique to predicate the orientation of the bag. However, since the computing power is quite limited, the algorithms must have as low complexity as possible.
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一种高效的高水平技能获取图像处理算法
本文介绍了安装在卡尔斯鲁厄IPR的图像处理系统的设置。通过现场演示,为传感器设备的编程提供参考。作为第一个应用程序示例,它被用作袋子包装任务演示中的图像源。提出了一种定位输液袋位置的检测算法。它是由马拉加大学计算机体系结构系开发的,在应用Canny滤波器后使用直线霍夫变换。然后,利用二值化技术对袋子的橡胶帽位置进行定位,以预测袋子的方向。然而,由于计算能力非常有限,算法必须尽可能地降低复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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