The Role of Improved K-Means Clustering Algorithm in the Motion Parameters Determination of Breaker's Moving Contact

Abstract:

High voltage circuit breaker's motion parameters of the moving contact is one of the key performance indicators in the evaluated of breaker. By means of extracting color features of LW10B-252 circuit breaker by image segmentation, then determining its center point of the minimum circumscribed rectangle, getting the movement distance of center point and the use of time in adjacent images, realization motion parameter's measurement of the moving contact. This paper presents a algorithm based on improved k-means clustering algorithm to extract the color characteristics of the mechanical linkage of breaker, at the same time contrast with classical OTSU method and RGB color segmentation method. Experimental results show that the k-means clustering algorithm have a better segmentation result.

• Periodical: Advanced Materials Research (Volumes 960-961)
• Pages: 905-909
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.960-961.905
• Online since: June 2014
• Authors: Yu Tao Xu, Shu Tao Zhao, Dan Jiang, Jian Feng Ren
• Keywords: Image Segmentation, K-Means Clustering Algorithm, Motion Parameters of the Moving Contact

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