基于稀疏編碼空間金字塔匹配的高中統(tǒng)計圖形識別
[Abstract]:With the rapid development of artificial intelligence technology, artificial intelligence education will open a new model of education, and it is one of the hot and difficult points to apply the latest research results of artificial intelligence to education. Human-like problem solving is one of the main research directions in the field of artificial intelligence education. Human-like problem solving has important theoretical and practical value for the realization of artificial intelligence education. This paper mainly focuses on the problem of high school statistical graph recognition in the research of human-like problem solving. The main work of this paper is as follows: (1) build a statistical graphics database. Four typical statistical graphs are collected and the database of high school statistical graphics is constructed to lay the foundation for further research. (2) the classification method of statistical graphics is designed. The sparse coding space pyramid matching algorithm is used to extract the feature of high school statistical graph for classification. This method can obtain the essential feature of the graph and is helpful to get the correct classification. The experimental results show that the image features extracted by the sparse coding space pyramid matching algorithm are stable and the classification accuracy is high. (3) the typical statistical graph subject information recognition. According to the characteristics of histogram, a histogram recognition algorithm is designed to identify the title information in histogram, and its validity is preliminarily verified.
【學位授予單位】:華中師范大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:G434
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