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.
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
Cited by
2 articles.
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1. Inverse correlation filters of objects features with optimized regularization for image processing;Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022;2022-12-12
2. Pyramidal method of generalized spatially connected processing and an example of its implementation in image processing;Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022;2022-12-12