Jurnal Ilmiah Sinus
Vol 9, No 2 (2011): Juli 2011

K-Means Clustering Untuk Pengenalan Buah Berdasarkan Karakteristik Warna Citra

Yustina Retno Wahyu Utami (Unknown)



Article Info

Publish Date
15 Jul 2011

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

Copyrights © 2011






Journal Info

Abbrev

e-jurnal_SINUS

Publisher

Subject

Computer Science & IT

Description

Jurnal Ilmiah SINUS is a magazine published twice a year, wherein one issue there are seven articles. Jurnal Ilmiah SINUS as a communication medium to report the results of field research, library research, observations or opinions on problems arising related to the development of information ...