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

• Published in: International journal of emerging technologies in learning 2018-01, Vol.13 (11), p.89
• Main Author: Liu, Feng-juan
• Format: Article
• Language: English
• Subjects: Algorithms
• ISSN: 1863-0383; 1863-0383
• DOI: 10.3991/ijet.v13i11.9603

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.