A reconfigurable real-time morphological system for augmented vision

Ryan Gibson, Ali Ahmadinia, Scott McMeekin, Niall Strang, Gordon Morison

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There is a significant number of visually impaired individuals who suffer sensitivity loss to high spatial frequencies, for whom current optical devices are limited in degree of visual aid and practical application. Digital image and video processing offers a variety of effective visual enhancement methods that can be utilised to obtain a practical augmented vision head-mounted display device. The high spatial frequencies of an image can be extracted by edge detection techniques and overlaid on top of the original image to improve visual perception among the visually impaired. Augmented visual aid devices require highly user-customisable algorithm designs for subjective configuration per task, where current digital image processing visual aids offer very little user-configurable options. This paper presents a highly user-reconfigurable morphological edge enhancement system on field-programmable gate array, where the morphological, internal and external edge gradients can be selected from the presented architecture with specified edge thickness and magnitude.
Original languageEnglish
Pages (from-to)e1-e13
Number of pages13
JournalEURASIP Journal on Advances in Signal Processing
Publication statusPublished - Aug 2013


  • spatial frequencies
  • visual impairment
  • visual aids


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