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EFFICIENT LINE DETECTION METHOD BASED ON 2D CONVOLUTION FILTER

Abstract

The article proposes an efficient line detection method using a 2D convolution filter. The proposed method was compared with the Hough transform, the most popular method of straight lines detection. The developed method is suitable for local detection of straight lines with a slope from -45˚ to 45˚. Also, it can be used for curve detection which shape is approximated with the short straight sections. The new method is characterized by a constant computational cost regardless of the number of set pixels. The convolution is performed using the logical conjunction and sum operations. Moreover, design of the developed filter and the method of filtration allows for parallelization. Due to constant computation cost, the new method is suitable for implementation in the hardware structure of real-time image processing systems.

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DOI:
Digital Object Identifier (open in new tab) 10.35784/iapgos.2817
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Creative Commons: CC-BY-SA open in new tab

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Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska no. 11, pages 22 - 27,
ISSN: 2083-0157
Language:
English
Publication year:
2021
Bibliographic description:
Kowalski P., Tojza P.: EFFICIENT LINE DETECTION METHOD BASED ON 2D CONVOLUTION FILTER// Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska -Vol. 11,iss. 4 (2021), s.22-27
DOI:
Digital Object Identifier (open in new tab) 10.35784/iapgos.2817
Verified by:
Gdańsk University of Technology

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