Sobel-Freichen Hybrid Filters to Improve Edge Detection Performance

Authors

  • Yogheswary Kalai Institute of Engineering Mathematics, Universiti Malaysia Perlis, Kampus Pauh Putra, 02600, Arau, Perlis, Malaysia
  • Ahmad Kadri Junoh Institute of Engineering Mathematics, Universiti Malaysia Perlis, Kampus Pauh Putra, 02600, Arau, Perlis, Malaysia
  • Wan Zuki Azman Wan Muhamad Institute of Engineering Mathematics, Universiti Malaysia Perlis, Kampus Pauh Putra, 02600, Arau, Perlis, Malaysia
  • Afifi Md Desa Institute of Engineering Mathematics, Universiti Malaysia Perlis, Kampus Pauh Putra, 02600, Arau, Perlis, Malaysia
  • Mohd Hafiz Zakaria Institute of Engineering Mathematics, Universiti Malaysia Perlis, Kampus Pauh Putra, 02600, Arau, Perlis, Malaysia

Keywords:

Kernels, Hybrid, Sobel, Freichen, Edge Detection,

Abstract

Edge detection is one of the most critical tasks in the image processing, computer vision and pattern recognition. Edge is a line between two corners or surface which also significant transitions in an image. It also can be defined as an abrupt change in intensity of pixels and discontinuity in image brightness. This research paper provides visual analysis of edge detection using Sobel and Freichen operator. Furthermore, a new hybrid technique proposed which is the combination of Sobel and Freichen filters to overcome some drawbacks of the classical operator. Based on the frequency distribution, the proposed hybrid method is producing a better edge profile than the traditional filters Sobel and Freichen.

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Published

2018-03-30

How to Cite

Kalai, Y., Junoh, A. K., Wan Muhamad, W. Z. A., Md Desa, A., & Zakaria, M. H. (2018). Sobel-Freichen Hybrid Filters to Improve Edge Detection Performance. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-15), 7–10. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4037

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