Image Classification Algorithm Based on Depth Layer Model
YUAN Li-ge, XU Yin, HAO Yang-zhou
Control Engineering of China ›› 2018, Vol. 25 ›› Issue (10) : 1882-1886.
Image Classification Algorithm Based on Depth Layer Model
Image classification is the basis of large-scale image retrieval, in order to improve the accuracy of image classification, a novel image classification algorithm based on the depth hierarchy model is proposed. Firstly, the features such as color, texture and edge of the image are extracted and normalized, and then, a depth level model is used to learn training set of image classification, and the image classifier is built, finally, the performance is tested on the Matlab 2014 platform by using some image datasets. Experimental results show that the proposed algorithm can obtain ideal image classification results, and the image classification accuracy rate is much higher than the contrast image classification algorithms, so it has higher practical value.
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