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A Quantitative Evaluation Model of Interactive Whiteboard Classroom Based on K-Means Algorithm
ARTICLE

, Shaanxi University of Technology , Shaanxi Hanzhong,723000 , China

iJET Volume 13, Number 11, ISSN 1863-0383 Publisher: International Association of Online Engineering, Kassel, Germany

Abstract

In order to apply the K-means algorithm to the quantitative evaluation model of interactive whiteboard class, the automatic correction method of the natural scene text plane image in the interactive whiteboard class is put forward. This method makes full use of the whiteboard border line information, and completes the whiteboard correction through the Canny operator edge detection, the PPHT straight line extraction, the K-means algorithm linear clustering, H matrix transformation and other steps. Finally, experiments are carried out to test the performance of the algorithm. The research results show that the algorithm has a high success rate of correction for basic simple background and simple content whiteboard, and the algorithm performance is relatively stable. It can be seen that the K-means algorithm has broad application prospects in the quantitative evaluation model of interactive whiteboard classroom.

Citation

Liu, F.j. (2018). A Quantitative Evaluation Model of Interactive Whiteboard Classroom Based on K-Means Algorithm. International Journal of Emerging Technologies in Learning (iJET), 13(11), 89-101. Kassel, Germany: International Association of Online Engineering. Retrieved October 17, 2019 from .