Page 58 - Conference Book The 3rd IConVET "Future of TVET Graduates: Developing Talent for Industry 4.0 and The New Normal"

The 3 International Conference
rd
on Vocational Education and Technology (IConVET)
Universitas Pendidikan Ganesha - Bali | 7 November, 2020
th
ROAD EXTRACTION IN SATELLITE IMAGE WITH
FUZZY C-MEAN

I G A S Melati , N N U Januhari , A Yaputra 3
2
1

1,2,3 Study Program Information System of ITB STIKOM Bali

2
1
Email: melati@stikom-bali.ac.id ,amik@stikom-bali.ac.id ,
alberthyap@gmail.com3

Abstract. Algorithm Fuzzy C-Means is a data grouping technology where
the level of data presence in a class or cluster is determined by the degree of
membership. The-based image segmentation clustering in this study uses the
Fuzzy C Means method, to obtain a more optimal cluster center.
Preprocessing applied to the test image used in the proposed method is
gradient operation. System evaluation uses two approaches, namely by
measuring the value validity cluster. The test results show that the FCM-
Means algorithm produces better segmentation And the results of the
clustering produce colors on the road . The value of each pixel will be limited
to the value 0 or the value 1 in the binary image. In this Fuzzy C-Means
algorithm, each object / data can be a member of several clusters.

| IConVET 2020 | 58

https://conference.undiksha.ac.id/iconvet/ | 58 |