Image Edge Detection for Batak Ulos Motif Recognition using Canny Operators

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Sarinah Sitanggang
Paska Marto Hasugian

Abstract

Batak ulos is one of the handicrafts originating from North Sumatra. In Batak Ulos, there are various kinds of motifs that are characteristic of these ulos. One way to find out the type of ulos is by knowing the motives found on the ulos. For that we need a system that can detect ulos and then can recognize these ulos. The system was built using the canny edge detection method proposed by Jhon Canny in 1986, and is known as the optimal edge detection operator. Canny operator is one of edge detection which is very good in detecting image edges. Canny operators have met the criteria in detecting, namely detecting very well, responding well and localizing well and clearly. The system built also uses the C # programming language in Microsoft Visual Studio 2010.

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How to Cite
Sitanggang, S., & Hasugian, P. M. (2020). Image Edge Detection for Batak Ulos Motif Recognition using Canny Operators. Login : Jurnal Teknologi Komputer, 14(2), 137-154. Retrieved from http://login.seaninstitute.org/index.php/Login/article/view/42

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