PENERAPAN ALGORITMA K-MEANS PADA KOMPRESI ADAPTIF CITRA MEDIS MRI
Abstract: MRI medical image
processing require large amounts of memory. Due to limited bandwidth and
storage capacity, the image must be compressed prior to transmission and
stored. This paper has the objective to implement the algorithm k means the MRI
medical image compression. Implementation begins with the Pre post. At this
stage, L-dimensional vector of the image will be made. L is the block - a
measure used for clustering technique, but is set back in the form of an array.
Then the process of clustering. At this stage, every pixel of the image is
represented by the centroid of the cluster. And the last stage is the Main
Compression, the pixels that do not contain important information will be
removed. The study compared the quality of the original image and compressed
image. Based on manual observation, there is no significant difference in
quality between the original image and the compressed one.
Penulis: I Wayan Angga Wijaya,
Afriliana Kusumadewi
Kode Jurnal: jptinformatikadd150302
