Edge Detection for Moving Image Using Hybrid Algorithm

Authors

  • Bongkarn Homnan Dhurakij Pundit University

Keywords:

Edge detection, Moving image, Learning index, Power index, Sobel, Canny

Abstract

The aim of this paper is to realize edge detection unit of moving image by using Hybrid Algorithm (HA). The proposed HA is combined with Sobel Algorithm (SA) and Canny Algorithm (CA) and each algorithm is stressed with learning index and power index. The strong edges detected from SA are filled with the weak edges detected from CA can give edge-based image better. Additionally, the HA is more flexibility than the conventional algorithms due to more number of degrees of freedom.

References

Jinbo Wu, Zhouping Yin, and Youlun Xiong. The Fast Multilevel Fuzzy Edge Detection of Blurry Images. IEEE Signal Processing Letters. (14. 5). pp. 344 - 347. May. 2007.
Jia Li and Xiaojun Jing. Edge Detection Based on Decision-Level Information Fusion and Its Application in Hybrid Image Filtering. International Conference on I mage Processing. pp. 251 – 254. 2004.
Said E. El Kamy, Mona Lofty, and Noha El-Yamany. A Modified Fuzzy Sobel Edge Detector. 17th National Radio Science Conference. pp. c32-1 - c32-9. Feb. 2000.
Paul Bao, Lei Zhang, and Xianlin Wu. Canny Edge Detection Enhancement by Scale Multiplication. IEEE Transactions on Pattern Analysis and Machine Intelligence. (27. 9). pp. 1486 - 1490 . Sep. 2005.

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Published

2020-08-20

How to Cite

Homnan, B. (2020). Edge Detection for Moving Image Using Hybrid Algorithm. Suthiparithat Journal, 23(71), 133–146. retrieved from https://so05.tci-thaijo.org/index.php/DPUSuthiparithatJournal/article/view/246239

Issue

Section

Academic Articles