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An Algorithm for Edge Detection of the Image for Application in WSN

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Applied Physics, System Science and Computers (APSAC 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 428))

Abstract

The conversion of the image in black and white image is a very important factor in the case of WSNs. This conversion affects the image size reduction. In other words, it affects energy saving and bandwidth transmission of sensor nodes. However, in this case, we can have a loss of details of image characteristics. With purpose of preserving the image characteristics, the edge detection as accurately as possible is a key factor. So, in this paper, we will present a new algorithm which enables the efficient realization of pixels detection that corresponds to the edges of the image captured by the sensor nodes. The results obtained with the application of this algorithm will be compared with results obtained from the application of traditional Filters.

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References

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Author information

Authors and Affiliations

  1. Telecommunication Department Faculty of Information Technology, Polytechnic University of Tirana, Square “Mother Teresa”, 4, Tirana, Albania

    Adrian Shehu

  2. Telecommunication Department Faculty of Information Technology, Polytechnic University of Tirana, Mati 1, Fitorja 2/13, Prishtina, Kosova

    Astrit Hulaj

  3. Vienna University of Technology, IHRT, Favoritenstras 9/E325A6, Vienna, Austria

    Xhevahir Bajrami

Authors
  1. Adrian Shehu
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  2. Astrit Hulaj
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  3. Xhevahir Bajrami
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Corresponding author

Correspondence to Astrit Hulaj .

Editor information

Editors and Affiliations

  1. Ag. Spyridon, University of Applied Sciences Ag. Spyridon, Athens, Greece

    Klimis Ntalianis

  2. Faculty of Mathematics, Al.I. Cuza University Faculty of Mathematics, Iasi, Romania

    Anca Croitoru

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Shehu, A., Hulaj, A., Bajrami, X. (2018). An Algorithm for Edge Detection of the Image for Application in WSN. In: Ntalianis, K., Croitoru, A. (eds) Applied Physics, System Science and Computers. APSAC 2017. Lecture Notes in Electrical Engineering, vol 428. Springer, Cham. https://doi.org/10.1007/978-3-319-53934-8_25

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  • DOI: https://doi.org/10.1007/978-3-319-53934-8_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53933-1

  • Online ISBN: 978-3-319-53934-8

  • eBook Packages: EngineeringEngineering (R0)

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