đź“… 15 July 2011
DOI: 10.30646/sinus.v9i2.92
K-Means Clustering Untuk Pengenalan Buah Berdasarkan Karakteristik Warna Citra
Jurnal Ilmiah Sinus
Universitas Tiga Serangkai
đź“„ Abstract
Research on pattern recognition in images has been developed. Objects can be recognized by color, texture, or shape. This study took four types of fruit as its object of apple, pear, bark, and orange. Feature extraction image taken based on the color characteristics of objects in the image of Hue Saturation Value. Characteristic images obtained were classified using k-means clustering. This experiment using 20 data has resulted in 70% accuracy. Keyword: feature extraction, Hue Saturation Value, k-means clustering, recognized of fruit
ℹ️ Informasi Publikasi
Tanggal Publikasi
15 July 2011
Volume / Nomor / Tahun
Volume 9, Nomor 2, Tahun 2011
đź“ť HOW TO CITE
Wahyu Utami, Yustina Retno; , "K-Means Clustering Untuk Pengenalan Buah Berdasarkan Karakteristik Warna Citra," Jurnal Ilmiah Sinus, vol. 9, no. 2, Jul. 2011.
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