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title

Cellular edge detection for color images

Credit to Download: 1 | Page Numbers 9 | Abstract Views: 116
Year: 2018
COI code: NEEC05_116
Paper Language: English

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Authors Cellular edge detection for color images

  Somayeh Golmohamadi - Department of computer science Allameh Tabatabai university Tehran, Iran
  Elnaz Ahmadi Shad - Department of computer science Allameh Tabatabai university Tehran, Iran
  Mohammadreza Asghari Oskoei - Department of computer science Allameh Tabatabai university Tehran, Iran

Abstract:

Edge is considered an important feature for image processing in computer science. However, to day this technology has mainly be developed for grey scale images as opposed to colored images. Converting to greyscale images involves information loss and is often time consuming. We therefore see a need to develop edge detection for color images as well.In this study we propose a Cellular Edge Detection (CED) algorithm based on Cellular automata (CA) and Cellular Learning Automata (CLA) which is a very accurate and reliable way of edge detecting. Every color edge detection procedure is done via the grayscale rules however there are some noticeable difference. The input image is different when a conversion from RGB to HSV occurs while, in RGB images we propose an average or other way of merging results. Results shows that this new way to find edges work accurately and more efficient. The evaluation of this proposed model calculated by MSE and PSNR

Keywords:

CED (Cellular Edge Detection), color image edge detection, CA (Cellular automata), CLA (Cellular Learning Automata), MSE, PSNR

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Golmohamadi, Somayeh; Elnaz Ahmadi Shad & Mohammadreza Asghari Oskoei, 2018, Cellular edge detection for color images, 5th National Conference on Electrical Engineering of Iran, نجف آباد, دانشگاه آزاد اسلامي واحد نجف آباد, https://www.civilica.com/Paper-NEEC05-NEEC05_116.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Golmohamadi, Somayeh; Elnaz Ahmadi Shad & Mohammadreza Asghari Oskoei, 2018)
Second and more: (Golmohamadi; Ahmadi Shad & Asghari Oskoei, 2018)
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The University/Research Center Information:
Type: state university
Paper No.: 12936
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