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一种权值可发育的视觉选择性注意模型研究

李福进 杜建 任红格 史涛

现代电子技术2018,Vol.41Issue(10):183-186,4.
现代电子技术2018,Vol.41Issue(10):183-186,4.DOI:10.16652/j.issn.1004⁃373x.2018.10.047

一种权值可发育的视觉选择性注意模型研究

Research on a visual selective attention model with weight development

李福进 1杜建 1任红格 1史涛1

作者信息

  • 1. 华北理工大学 电气工程学院,河北 唐山063210
  • 折叠

摘要

Abstract

In the Itti visual selective attention model,the weight does not change as the task changes during the saliency map normalization of child feature map. Therefore,a visual selective attention model with weight development is proposed to be the learning mechanism of image feature extraction by learning from the research achievements of autonomous development in vi-sual selective attention learning. In the algorithm,the strategy of combining three-layer self-organized neural network with Itti vi-sual selective attention model is used for optimization. The optimal weight update is obtained by training and learning of the mod-el,which can not only guarantee the completeness of the initial feature extraction content,but also reduce the constraint of the system on different task conditions,and improve the feature extraction capability of the model. An interested-area feature extrac-tion experiment was carried out for images by using the visual selective attention model with weight development. The results show that the proposed method can improve the accuracy of feature extraction,reduce the computation time,and obtain a good dynamic performance.

关键词

Itti视觉选择性注意模型/权值可发育/自主发育/特征提取/显著图/模型训练

Key words

Itti visual selective attention model/weight development/autonomous development/feature extraction/salien-cy map/model training

分类

信息技术与安全科学

引用本文复制引用

李福进,杜建,任红格,史涛..一种权值可发育的视觉选择性注意模型研究[J].现代电子技术,2018,41(10):183-186,4.

基金项目

国家自然科学基金项目(61203343) (61203343)

河北省自然科学基金项目(E2014209106) (E2014209106)

河北省教育厅高等学校科学技术研究项目(QN2016102) (QN2016102)

河北省教育厅高等学校科学技术研究项目(QN2016105)Project Supported by National Natural Science Foundation of China(61203343),Natural Science Foundation of Hebei Province(E2014209106),Science and Technology Research Project of Higher Education of Hebei Provincial Education Department(QN2016102),Science and Technology Research Project of Higher Education of Hebei Provincial Education Department(QN2016105) (QN2016105)

现代电子技术

OA北大核心CSTPCD

1004-373X

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