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General Information
    • ISSN: 1793-8244 (Print)
    • Abbreviated Title:  J. Adv. Comput. Netw.
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Professor Haklin Kimm
    • Executive Editor: Ms. Cherry Chan
    • Abstracting/ Indexing: EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
    • APC: 500USD
Professor Haklin Kimm
East Stroudsburg University, USA
I'm happy to take on the position of editor in chief of JACN. We encourage authors to submit papers on all aspects of computer networks.

JACN 2015 Vol.3(2): 157-161 ISSN: 1793-8244
DOI: 10.7763/JACN.2015.V3.159

Improved Simplified Novel Method for Edge Detection in Grayscale Images Using Adaptive Thresholding

Tirath P. Sahu and Yogendra K. Jain

Abstract—Edges play a crucial role in digital image processing. In this paper, an improved simplified novel method is presented to improve the quality of edge detection in grayscale images. In this method, a 3x3 binary matrix is employed to process each and every pixel by means of vicinity. Each pixel is considered an input and by examining binary matrix, the edge pixel is specified and by utilizing conditions and adaptive thresholding of the algorithm, edges are displayed more clearly. This method not only detects edge in images but removes noise as well. A comparative study of different edge detection techniques like Sobel, Prewitt, Roberts, LoG, zero-cross, Canny, fuzzy techniques and SNM with the proposed technique is presented. The proposed technique gives better results in terms of smoothness, sharpness, continuity, true edges and execution time than the conventional edge detection techniques.

Index Terms—Edge detection, digital image processing, additive noise, image segmentation, adaptive thresholding, morphological processing.

Tirath P. Sahu is with the Department of IT, NIT Raipur, India (e-mail: tirasahu.it@nitrr.ac.in).
Yogendra K. Jain is with Department of CSE, SATI Vidisha, India (email: ykjain_p@yahoo.co.in).


Cite:Tirath P. Sahu and Yogendra K. Jain, "Improved Simplified Novel Method for Edge Detection in Grayscale Images Using Adaptive Thresholding," Journal of Advances in Computer Networks vol. 3, no. 2, pp. 157-161, 2015.

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