HMAX Model Based on Saliency Detection
Runping Xi, Sisi Wang, Xin Yi Zhou, Yue Liu · 2019
In the classifier of HMAX model, there is a problem that selecting effective information from the image blocks is insufficient during the learning process. Therefore, a HMAX model of saliency detection is proposed to improve the selection of the effective information from the image. The effective information of the dictionary and the effectiveness of target detection are improved by using the method of saliency detection in the dictionary learning process of HMAX model. Finally, the detected targets were classified and experimentally verified. The experimental results shown that the Hierarchical Model and X(HMAX) model of improved has higher detection efficiency and the classification accuracy compared with the traditional HMAX model.