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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Tian Swee Tan
BioInspired Device and Tissue Engineering Research Group
Computer Science & IT Electrical & Electronics Engineering

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Mini Kirsch Edge Detection and Its Sharpening Effect Joyce Sin Yin Sia; Tian Swee Tan; Azli Bin Yahya; Matthias Foh Thye Tiong; Jeremy Yik Xian Sia
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 9, No 1: March 2021
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v9i1.2597

Abstract

In computer vision, edge detection is a crucial step in identifying the objects’ boundaries in an image. The existing edge detection methods function in either spatial domain or frequency domain, fail to outline the high continuity boundaries of the objects. In this work, we modified four-directional mini Kirsch edge detection kernels which enable full directional edge detection. We also introduced the novel involvement of the proposed method in image sharpening by adding the resulting edge map onto the original input image to enhance the edge details in the image. From the edge detection performance tests, our proposed method acquired the highest true edge pixels and true non-edge pixels detection, yielding the highest accuracy among all the comparing methods. Moreover, the sharpening effect offered by our proposed framework could achieve a more favorable visual appearance with a competitive score of peak signal-to-noise ratio and structural similarity index value compared to the most widely used unsharp masking and Laplacian of Gaussian sharpening methods.  The edges of the sharpened image are further enhanced could potentially contribute to better boundary tracking and higher segmentation accuracy.
Co-Authors Azli Bin Yahya Jeremy Yik Xian Sia Joyce Sin Yin Sia Matthias Foh Thye Tiong