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Vol. 18 No. 01 (2024): Jurnal Teknologi Komputer, Edition June 2024

Image Edge Detection for Batak Ulos Motif Recognition using Canny Operators

Sitanggang, Sarinah (Unknown)
Hasugian, Paska Marto (Unknown)



Article Info

Publish Date
30 Jun 2024

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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Journal Info

Abbrev

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Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Is a journal managed by the SEAN Institute, this journal discusses science in the field of Computer Science, Appropriate Computer Technology, Information System Design, as a forum for pouring research results both conceptually and technically related to information science. Journal Login is ...