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All Journal Majalah Ilmiah Teknologi Elektro Majalah Ilmiah Teknologi Elektro
I Gusti Ngurah Winanda Wijaksana
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Perbandingan Metode Segmentasi SOM dan Fuzzy CMeans pada Content-Based Image Retrieval Berbasis Warna I Gusti Ngurah Winanda Wijaksana; Ida Ayu Dwi Giriantari; I Made Sudarma
Jurnal Teknologi Elektro Vol 17 No 3 (2018): (September - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (804.492 KB) | DOI: 10.24843/MITE.2018.v17i03.P05

Abstract

Abstract— The difficulty of determining the right keywords to get the right image is the disadvantages of image search methods based on metadata keywords. Current technology developments lead to content-based image retrieval (CBIR). One feature of image content used for image retrieval is the color feature. To improve CBIR performance, this study investigated the comparison between SOM and Fuzzy C-Means segmentation methods. This segmentation method separates the foreground and background of the query image to get better CBIR performance. This study used Wang Dataset image database. Testing is done with test images that have undergone scale, rotation and blurring. The results of the test show that the segmentation method improves the recall value or the true image that has been found, but significantly reduces the precision value or the true image ratios of the overall images found compared without using segmentation method.
Perbandingan Metode Segmentasi SOM dan Fuzzy CMeans pada Content-Based Image Retrieval Berbasis Warna I Gusti Ngurah Winanda Wijaksana; Ida Ayu Dwi Giriantari; I Made Sudarma
Jurnal Teknologi Elektro Vol 17 No 3 (2018): (September - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2018.v17i03.P05

Abstract

Abstract— The difficulty of determining the right keywords to get the right image is the disadvantages of image search methods based on metadata keywords. Current technology developments lead to content-based image retrieval (CBIR). One feature of image content used for image retrieval is the color feature. To improve CBIR performance, this study investigated the comparison between SOM and Fuzzy C-Means segmentation methods. This segmentation method separates the foreground and background of the query image to get better CBIR performance. This study used Wang Dataset image database. Testing is done with test images that have undergone scale, rotation and blurring. The results of the test show that the segmentation method improves the recall value or the true image that has been found, but significantly reduces the precision value or the true image ratios of the overall images found compared without using segmentation method.
Co-Authors I MADE SUDARMA Ida Ayu Dwi Giriantari