[1]王静,张羽婷,张云,等.基于图像显著性的人工视觉图像处理策略[J].中国医学物理学杂志,2019,36(11):1277-1283.[doi:DOI:10.3969/j.issn.1005-202X.2019.11.007]
　WANG Jing,ZHANG Yuting,et al.Image processing strategy based on saliency detection for artificial vision[J].Chinese Journal of Medical Physics,2019,36(11):1277-1283.[doi:DOI:10.3969/j.issn.1005-202X.2019.11.007]
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基于图像显著性的人工视觉图像处理策略()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
36卷
期数:
2019年第11期
页码:
1277-1283
栏目:
医学影像物理
出版日期:
2019-11-25

文章信息/Info

Title:
Image processing strategy based on saliency detection for artificial vision
文章编号:
1005-202X（2019）11-1277-07
作者:
王静1; 2; 张羽婷3; 张云1; 2; 韩彦岭1; 洪中华1; 杨树瑚1
1.上海海洋大学信息学院， 上海 201306； 2.农业农村部渔业信息重点实验室， 上海 201306； 3.中国移动通信集团上海有限公司， 上海 200082
Author(s):
WANG Jing1;  2;  ZHANG Yuting3;  ZHANG Yun1;  2;  HAN Yanling1;  HONG Zhonghua1;  YANG Shuhu1
1. College of Information Technology, Shanghai Ocean University, Shanghai 201306, China; 2. Key Laboratory of Fisheries Information, Ministry of Agriculture and Rural Affairs, Shanghai 201306, China; 3. China Mobile Group Shanghai Co., Ltd, Shanghai 200082, China
关键词:
视网膜假体; 人工视觉信息处理; 图像显著性检测
Keywords:
retinal prosthesis;  artificial vision information processing;  image saliency detection
分类号:
R318
DOI:
DOI:10.3969/j.issn.1005-202X.2019.11.007
文献标志码:
A
摘要:
目的：在假体设备中的视觉信息处理模块引入适当的图像处理策略，优化低分辨率下的人工视觉信息，是解决假体植入者获取的视觉信息有限问题的一种可行方法。方法：基于全局亮度对比度特征的图像显著性检测算法（LC），结合颜色空间变换和视觉注意力仿真处理模型，提出一种面向视网膜假体人工视觉信息处理策略。通过两个标准图像测试数据集对图像处理结果进行评估，同时对流行病学调查结果选取的盲人常用物体图片进行仿真。结果：评估结果验证了在提取图像前景方面与原始LC算法对比的优越性，仿真结果验证了在人工视觉条件下应用的可行性。结论：本文提出的策略有助于视网膜假体植入者在日常生活场景中更好地完成物体识别等基本视觉任务。
Abstract:
Objective To effectively solve the problem of limited visual information obtained by prosthetic implant users by introducing the appropriate image processing strategy into the visual information processing module of the prosthesis device for optimizing the low-resolution artificial vision information. Methods Based on the saliency detection algorithm (luminance contrast) of global luminance contrast features, a strategy of artificial visual information optimization for retinal prosthesis was proposed by combining color space conversion and visual attention simulation processing model. Two benchmark databases were used to evaluate the result of image processing. Meanwhile, the simulation of images of the frequently used objects for the blind people which were determined by epidemiological investigation was carried out. Results The evaluation results verified the superiority of the proposed strategy over original luminance contrast algorithm in extracting image foreground. The simulated result verified the feasibility of the proposed strategy in artificial vision. Conclusion The proposed strategy is helpful for retinal prosthetic implant users to better accomplish the basic visual tasks such as object recognition in daily life.

相似文献/References:

[1]王静,刘建云,韩彦岭,等.基于实例分割和显著性计算的人工视觉多目标优化处理[J].中国医学物理学杂志,2023,40(3):320.[doi:DOI:10.3969/j.issn.1005-202X.2023.03.010]
　WANG Jing,LIU Jianyun,et al.Multi-object optimization approach for artificial vision based on instance segmentation and saliency detection[J].Chinese Journal of Medical Physics,2023,40(11):320.[doi:DOI:10.3969/j.issn.1005-202X.2023.03.010]

备注/Memo

备注/Memo:
【收稿日期】2019-06-11 【基金项目】国家自然科学基金（61806123, 41871325, 41506213）；上海市青年科技英才扬帆计划（16YF1415700）；上海青年讲师培训资助计划（ZZZZHY15001） 【作者简介】王静，博士研究生，讲师，主要研究方向：计算机视觉理论及应用、医学图像处理，E-mail: wangjing@shou.edu.cn 【通信作者】张云，博士研究生，教授，主要研究方向：通信导航遥感技术，E-mail: y-zhang@shou.edu.cn
更新日期/Last Update: 2019-11-28