Model of Multilevel Sub-Image to Find the Position of Region of Interest
Abstract: Searching image is
based on the image content, which is often called with searching of image
object. If the image data has similarity object with query image then it is
expected the searching process can recognize it. The position of the image
object that contains an object, which is similar to the query image, is
possible can be found at any positionon image data so that will become main
attention or the region of interest (ROI). This image object can has different
wide image, which is wider or smaller than the object on the query image. This
research uses two kinds of image data sizes that are in size of 512X512 and in
size of 256X256 pixels.Through experimental result is obtained that preparing
model of multilevel sub-image and resize that has same size with query image
that is in size of 128X128 pixels can help to find ROI position on image data.
In order to find the image data that is similar to the query image then it is
done by calculating Euclidean distance between query image feature and image
data feature.
Author: Budi Hartono, Veronica
Lusiana
Journal Code: jptinformatikagg160034
