视觉义肢视觉信息呈现的优化。

IF 3.3 Q2 ENGINEERING, BIOMEDICAL International Journal of Biomedical Imaging Pub Date : 2018-03-14 eCollection Date: 2018-01-01 DOI:10.1155/2018/3198342
Fei Guo, Yuan Yang, Yong Gao
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引用次数: 17

摘要

利用电刺激恢复盲人视觉功能的视觉假体具有广阔的应用前景。然而,由于分辨率低,视野有限,视觉感知的动态范围较低,在呈现日常场景时发生了巨大的信息丢失。在现实场景中,假肢使用者的物体识别能力受到严重限制。为了克服这些局限性,优化模拟假肢视觉中的视觉信息一直是研究的重点。本文提出了两种基于显著目标检测技术的图像处理策略。这两种处理策略使假体植入物能够聚焦于感兴趣的目标,并抑制背景杂波。心理物理实验表明,前景放大与背景杂波去除、前景边缘检测与背景还原等技术对模拟假肢视觉的目标识别任务有积极的影响。利用边缘检测和缩放技术,两种处理策略显著提高了目标的识别精度。我们可以得出结论,使用我们提出的策略的视觉假体可以帮助盲人提高他们识别物体的能力。研究结果将为视觉假体的进一步发展提供有效的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Optimization of Visual Information Presentation for Visual Prosthesis.

Visual prosthesis applying electrical stimulation to restore visual function for the blind has promising prospects. However, due to the low resolution, limited visual field, and the low dynamic range of the visual perception, huge loss of information occurred when presenting daily scenes. The ability of object recognition in real-life scenarios is severely restricted for prosthetic users. To overcome the limitations, optimizing the visual information in the simulated prosthetic vision has been the focus of research. This paper proposes two image processing strategies based on a salient object detection technique. The two processing strategies enable the prosthetic implants to focus on the object of interest and suppress the background clutter. Psychophysical experiments show that techniques such as foreground zooming with background clutter removal and foreground edge detection with background reduction have positive impacts on the task of object recognition in simulated prosthetic vision. By using edge detection and zooming technique, the two processing strategies significantly improve the recognition accuracy of objects. We can conclude that the visual prosthesis using our proposed strategy can assist the blind to improve their ability to recognize objects. The results will provide effective solutions for the further development of visual prosthesis.

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来源期刊
CiteScore
12.00
自引率
0.00%
发文量
11
审稿时长
20 weeks
期刊介绍: The International Journal of Biomedical Imaging is managed by a board of editors comprising internationally renowned active researchers. The journal is freely accessible online and also offered for purchase in print format. It employs a web-based review system to ensure swift turnaround times while maintaining high standards. In addition to regular issues, special issues are organized by guest editors. The subject areas covered include (but are not limited to): Digital radiography and tomosynthesis X-ray computed tomography (CT) Magnetic resonance imaging (MRI) Single photon emission computed tomography (SPECT) Positron emission tomography (PET) Ultrasound imaging Diffuse optical tomography, coherence, fluorescence, bioluminescence tomography, impedance tomography Neutron imaging for biomedical applications Magnetic and optical spectroscopy, and optical biopsy Optical, electron, scanning tunneling/atomic force microscopy Small animal imaging Functional, cellular, and molecular imaging Imaging assays for screening and molecular analysis Microarray image analysis and bioinformatics Emerging biomedical imaging techniques Imaging modality fusion Biomedical imaging instrumentation Biomedical image processing, pattern recognition, and analysis Biomedical image visualization, compression, transmission, and storage Imaging and modeling related to systems biology and systems biomedicine Applied mathematics, applied physics, and chemistry related to biomedical imaging Grid-enabling technology for biomedical imaging and informatics
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