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Multi-level threshold based edge detector using logical operations

Authors:

Kiran Jot Singh,

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About Kiran
Department of Electronics and Communication Engineering, Chandigarh University, Gharuan (Mohali), India.
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Divneet Singh Kapoor ,

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About Divneet
Department of Electronics and Communication Engineering, Chandigarh University, Gharuan (Mohali), India.
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Anshul Sharma,

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About Anshul
Department of Electronics and Communication Engineering, Chandigarh University, Gharuan (Mohali), India.
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Amit Kumar Kohli

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About Amit
Department of Electronics and Communication Engineering, Thapar University, Patiala, Punjab, India.
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Abstract

Edge detection is a very significant feature of image processing and refers to the algorithms, which are intended for identifying points in a digital image where the image intensity changes significantly. The need of edge detection is to find the discontinuities in intensity, surface direction, change in texture properties, and variation in scene illumination. This paper proposes a rapid and superior edge detection technique, which uses the logical operations on circularly shifted images to efficiently detect the edges with lesser computational complexity. The results are compared with other edge detectors using 2-dimensional Fourier transform. Experimental results show that the proposed algorithm improves detection accuracy and possesses encouraging robustness when applied to different images, in comparison to several other edge detection algorithms. Moreover, the algorithm is also applied on a bio-medical application to segment blood cells to show the diversified nature of the proposed algorithm.

How to Cite: Singh, K.J. et al., (2016). Multi-level threshold based edge detector using logical operations. Journal of the National Science Foundation of Sri Lanka. 44(2), pp.145–154. DOI: http://doi.org/10.4038/jnsfsr.v44i2.7995
Published on 30 Jun 2016.
Peer Reviewed

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