基于对比度信息的人工视觉系统图像处理方法

M. Ozden, Nergis Karadoruk, I. Karagoz
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引用次数: 0

摘要

本研究开发了一种视网膜外植入物的图像处理算法。在该算法中,提出了一种自适应频率控制方法,频率是产生刺激的重要参数之一。RGB格式的标准240×320像素视频图像被处理为10×10像素块。因此,它被设计为激活24×32像素电极矩阵。作为一种视网膜滤光器,Gabor滤光器优于文献中常用的DoG滤光器。利用时间滤波器对像素的变化进行建模。并给出了研究结果和前瞻意见。
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Image processing method for artificial sight systems based on contrast information
In this study, an image processing algorithm is developed for epiretinal implants. In this algorithm, it is presented an approach for adaptive frequency control that is one of the important parameters to generate stimuli. Standard 240×320 pixels video images in RGB format are processed as 10×10 pixel blocks. Consequently, it is designed to activate 24×32 pixels electrode matrix. As a retinal filter Gabor filter is preferred to DoG filter that is usually used in literature. The changes in pixels are modeled by using temporal filter. The results that belong to study and forward opinions are also presented.
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