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A dulcimer keys positioning method based on improved Roberts operator

De Tang, Ziying Zhang, Xin Chen, Zhe Xiao, Mengxi Qin

Year
2021
Citations
2

Abstract

It is important for the dulcimer robot to obtain the spatial coordinates of the dulcimer phonemes. However, the traditional manual positioning method is both inefficient and does not meet the intelligence requirements of modern robot. A visual positioning method based on improved Roberts operator is proposed in this paper on account of solving these problems, which can obtain the 3D coordinates of the dulcimer keys in a short time. First, an improved Roberts edge detection operator is designed, which fully detects the edge information of the target by transforming the scale. Further, this paper proposes a dulcimer keys positioning method by fusing RGB and depth image information. This method has a better positioning effect for dulcimer keys with complex background and small size. The experimental results show that the visual positioning method proposed in this paper can effectively identify and locate the dulcimer keys, and it has better robustness to the lighting environment.

Keywords

Computer scienceRobustness (evolution)Computer visionArtificial intelligenceRobotOperator (biology)RGB color modelMobile robot

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