期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2014
卷号：7
期号：5
页码：341-350
DOI：10.14257/ijhit.2014.7.5.31
出版社：SERSC
摘要：In this paper, a method for indoor and outdoor scene classification is proposed based on the spectrum information of Fourier transform. Firstly, the image is divided into five partitions. The color, texture, and spectral information of each partition are extracted as feature vector. Each partition has a separate image feature vectors, so the image can be represented by this set of features. For the feature extraction stage, frequency information can be used to classify indoor and outdoor scene. Compared with other classification methods, classification accuracy of this method increased from 91% to 92%, experimental results show that the proposed method is effective.
