EVALUASI CIRI CITRA MEDIS MENGGUNAKAN METODE PENINGKATAN KUALITAS CITRA HISTOGRAM EQUALIZATION DAN KARAKTERISASI STATISTIK
Abstract: This research has an
objective to implement histogram equalization technique in the evaluation of characteristics
medical images, especially for statistical characterization of medical images.
Implementation starting with the pre-processing of the image by converting RGB
medical images into grayscale images, followed by determination of the Region
of Interest (ROI) and cropping methods. The next process was to increase the
quality of medical images by implementing histogram equalization technique. The
medical image characteristic was evaluated using characteristic statistical
methods with their parameters are mean value, standard deviation, entropy,
skewness, and kurtosis. The Medical image was used in this research is a
medical image of advanced breast cancer. This research compared the
characteristics statistical characterization of medical images obtained with
the original medical image which has enhanced use histogram equalization
technique. The results of implementation histogram equalization obtain medical
image feature extraction results for the value of mean, entropy, skewness, and
kurtosis become smaller and standard deviation value was increase.
Keywords: medical image,
histogram equalization, characteristic evaluation, statistical
characterization, mean, standard deviation, entropy, skewness, kurtosis
Penulis: Afriliana Kusumadewi,
Sugeng Santoso
Kode Jurnal: jptinformatikadd150377
