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Open Access Computation of equidistant curve for the image with blurred contours

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The task of edge restoration is important aspect of automatic information processing systems. We have developed algorithm for automatic computation of equidistant curve on the image with blurred contours. The algorithm is based on the use of linear operators on matrices. First we introduce the basic notation and mathematical model of blurred image. Then we describe developed mathematical tool to accomplish this task. We present block diagram of the algorithm and proposed restrictions on its application. We have tested our approach on the set of test images and it has shown promising results on the task of equidistant curve computation for the image with blurred contours.

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Document Type: Research Article

Publication date: 29 January 2017

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  • For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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